Hugging Face's logo

Spaces:
03chrisk
/
air-quality-forecasting
Sleeping

App Files Community
atodorov284 commited on
Commit
48b62db
·
1 Parent(s): 07469b1

Added docker file

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .dockerignore +27 -0
  2. .vscode/launch.json +19 -0
  3. .vscode/tasks.json +26 -0
  4. Dockerfile +23 -0
  5. mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/estimator.html +415 -0
  6. mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/MLmodel +25 -0
  7. mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/conda.yaml +15 -0
  8. mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/model.pkl +3 -0
  9. mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/python_env.yaml +7 -0
  10. mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/requirements.txt +8 -0
  11. mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/estimator.html +415 -0
  12. mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/MLmodel +25 -0
  13. mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/conda.yaml +15 -0
  14. mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/model.pkl +3 -0
  15. mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/python_env.yaml +7 -0
  16. mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/requirements.txt +8 -0
  17. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/feature_importance_weight.json +1 -0
  18. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/feature_importance_weight.png +0 -0
  19. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/MLmodel +25 -0
  20. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/conda.yaml +15 -0
  21. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/model.xgb +3 -0
  22. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/python_env.yaml +7 -0
  23. mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/requirements.txt +8 -0
  24. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/feature_importance_weight.json +1 -0
  25. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/feature_importance_weight.png +0 -0
  26. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/MLmodel +25 -0
  27. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/conda.yaml +15 -0
  28. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/model.xgb +3 -0
  29. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/python_env.yaml +7 -0
  30. mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/requirements.txt +8 -0
  31. mlruns/149819317988706962/135e604974134ca4877227251e765174/inputs/3fe337ab19a414567ce38811567fb03e/meta.yaml +6 -0
  32. mlruns/149819317988706962/135e604974134ca4877227251e765174/inputs/dd0e35259bcd70279473e4da28a45714/meta.yaml +6 -0
  33. mlruns/149819317988706962/135e604974134ca4877227251e765174/meta.yaml +15 -0
  34. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/cpu_utilization_percentage +1 -0
  35. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/disk_available_megabytes +1 -0
  36. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/disk_usage_megabytes +1 -0
  37. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/disk_usage_percentage +1 -0
  38. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/gpu_0_memory_usage_megabytes +1 -0
  39. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/gpu_0_memory_usage_percentage +1 -0
  40. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/gpu_0_utilization_percentage +1 -0
  41. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/network_receive_megabytes +1 -0
  42. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/network_transmit_megabytes +1 -0
  43. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/system_memory_usage_megabytes +1 -0
  44. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/system_memory_usage_percentage +1 -0
  45. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_mean_absolute_error +1 -0
  46. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_mean_squared_error +1 -0
  47. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_r2_score +1 -0
  48. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_root_mean_squared_error +1 -0
  49. mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_score +1 -0
  50. mlruns/149819317988706962/135e604974134ca4877227251e765174/params/bootstrap +1 -0
.dockerignore ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ **/__pycache__
2
+ **/.venv
3
+ **/.classpath
4
+ **/.dockerignore
5
+ **/.env
6
+ **/.git
7
+ **/.gitignore
8
+ **/.project
9
+ **/.settings
10
+ **/.toolstarget
11
+ **/.vs
12
+ **/.vscode
13
+ **/*.*proj.user
14
+ **/*.dbmdl
15
+ **/*.jfm
16
+ **/bin
17
+ **/charts
18
+ **/docker-compose*
19
+ **/compose*
20
+ **/Dockerfile*
21
+ **/node_modules
22
+ **/npm-debug.log
23
+ **/obj
24
+ **/secrets.dev.yaml
25
+ **/values.dev.yaml
26
+ LICENSE
27
+ README.md
.vscode/launch.json ADDED
@@ -0,0 +1,19 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "configurations": [
3
+ {
4
+ "name": "Docker: Python - General",
5
+ "type": "docker",
6
+ "request": "launch",
7
+ "preLaunchTask": "docker-run: debug",
8
+ "python": {
9
+ "pathMappings": [
10
+ {
11
+ "localRoot": "${workspaceFolder}",
12
+ "remoteRoot": "/app"
13
+ }
14
+ ],
15
+ "projectType": "general"
16
+ }
17
+ }
18
+ ]
19
+ }
.vscode/tasks.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "version": "2.0.0",
3
+ "tasks": [
4
+ {
5
+ "type": "docker-build",
6
+ "label": "docker-build",
7
+ "platform": "python",
8
+ "dockerBuild": {
9
+ "tag": "airqualityforecast:latest",
10
+ "dockerfile": "${workspaceFolder}/Dockerfile",
11
+ "context": "${workspaceFolder}",
12
+ "pull": true
13
+ }
14
+ },
15
+ {
16
+ "type": "docker-run",
17
+ "label": "docker-run: debug",
18
+ "dependsOn": [
19
+ "docker-build"
20
+ ],
21
+ "python": {
22
+ "file": "air-quality-forecast\\main.py"
23
+ }
24
+ }
25
+ ]
26
+ }
Dockerfile ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # For more information, please refer to https://aka.ms/vscode-docker-python
2
+ FROM python:3-slim
3
+
4
+ # Keeps Python from generating .pyc files in the container
5
+ ENV PYTHONDONTWRITEBYTECODE=1
6
+
7
+ # Turns off buffering for easier container logging
8
+ ENV PYTHONUNBUFFERED=1
9
+
10
+ # Install pip requirements
11
+ COPY requirements.txt .
12
+ RUN python -m pip install -r requirements.txt
13
+
14
+ WORKDIR /app
15
+ COPY . /app
16
+
17
+ # Creates a non-root user with an explicit UID and adds permission to access the /app folder
18
+ # For more info, please refer to https://aka.ms/vscode-docker-python-configure-containers
19
+ RUN adduser -u 5678 --disabled-password --gecos "" appuser && chown -R appuser /app
20
+ USER appuser
21
+
22
+ # During debugging, this entry point will be overridden. For more information, please refer to https://aka.ms/vscode-docker-python-debug
23
+ CMD ["python", "air-quality-forecast\model_development.py"]
mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/estimator.html ADDED
@@ -0,0 +1,415 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ <!DOCTYPE html>
3
+ <html lang="en">
4
+ <head>
5
+ <meta charset="UTF-8"/>
6
+ </head>
7
+ <body>
8
+ <style>#sk-container-id-2 {
9
+ /* Definition of color scheme common for light and dark mode */
10
+ --sklearn-color-text: black;
11
+ --sklearn-color-line: gray;
12
+ /* Definition of color scheme for unfitted estimators */
13
+ --sklearn-color-unfitted-level-0: #fff5e6;
14
+ --sklearn-color-unfitted-level-1: #f6e4d2;
15
+ --sklearn-color-unfitted-level-2: #ffe0b3;
16
+ --sklearn-color-unfitted-level-3: chocolate;
17
+ /* Definition of color scheme for fitted estimators */
18
+ --sklearn-color-fitted-level-0: #f0f8ff;
19
+ --sklearn-color-fitted-level-1: #d4ebff;
20
+ --sklearn-color-fitted-level-2: #b3dbfd;
21
+ --sklearn-color-fitted-level-3: cornflowerblue;
22
+
23
+ /* Specific color for light theme */
24
+ --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
25
+ --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
26
+ --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
27
+ --sklearn-color-icon: #696969;
28
+
29
+ @media (prefers-color-scheme: dark) {
30
+ /* Redefinition of color scheme for dark theme */
31
+ --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
32
+ --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
33
+ --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
34
+ --sklearn-color-icon: #878787;
35
+ }
36
+ }
37
+
38
+ #sk-container-id-2 {
39
+ color: var(--sklearn-color-text);
40
+ }
41
+
42
+ #sk-container-id-2 pre {
43
+ padding: 0;
44
+ }
45
+
46
+ #sk-container-id-2 input.sk-hidden--visually {
47
+ border: 0;
48
+ clip: rect(1px 1px 1px 1px);
49
+ clip: rect(1px, 1px, 1px, 1px);
50
+ height: 1px;
51
+ margin: -1px;
52
+ overflow: hidden;
53
+ padding: 0;
54
+ position: absolute;
55
+ width: 1px;
56
+ }
57
+
58
+ #sk-container-id-2 div.sk-dashed-wrapped {
59
+ border: 1px dashed var(--sklearn-color-line);
60
+ margin: 0 0.4em 0.5em 0.4em;
61
+ box-sizing: border-box;
62
+ padding-bottom: 0.4em;
63
+ background-color: var(--sklearn-color-background);
64
+ }
65
+
66
+ #sk-container-id-2 div.sk-container {
67
+ /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
68
+ but bootstrap.min.css set `[hidden] { display: none !important; }`
69
+ so we also need the `!important` here to be able to override the
70
+ default hidden behavior on the sphinx rendered scikit-learn.org.
71
+ See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
72
+ display: inline-block !important;
73
+ position: relative;
74
+ }
75
+
76
+ #sk-container-id-2 div.sk-text-repr-fallback {
77
+ display: none;
78
+ }
79
+
80
+ div.sk-parallel-item,
81
+ div.sk-serial,
82
+ div.sk-item {
83
+ /* draw centered vertical line to link estimators */
84
+ background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
85
+ background-size: 2px 100%;
86
+ background-repeat: no-repeat;
87
+ background-position: center center;
88
+ }
89
+
90
+ /* Parallel-specific style estimator block */
91
+
92
+ #sk-container-id-2 div.sk-parallel-item::after {
93
+ content: "";
94
+ width: 100%;
95
+ border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
96
+ flex-grow: 1;
97
+ }
98
+
99
+ #sk-container-id-2 div.sk-parallel {
100
+ display: flex;
101
+ align-items: stretch;
102
+ justify-content: center;
103
+ background-color: var(--sklearn-color-background);
104
+ position: relative;
105
+ }
106
+
107
+ #sk-container-id-2 div.sk-parallel-item {
108
+ display: flex;
109
+ flex-direction: column;
110
+ }
111
+
112
+ #sk-container-id-2 div.sk-parallel-item:first-child::after {
113
+ align-self: flex-end;
114
+ width: 50%;
115
+ }
116
+
117
+ #sk-container-id-2 div.sk-parallel-item:last-child::after {
118
+ align-self: flex-start;
119
+ width: 50%;
120
+ }
121
+
122
+ #sk-container-id-2 div.sk-parallel-item:only-child::after {
123
+ width: 0;
124
+ }
125
+
126
+ /* Serial-specific style estimator block */
127
+
128
+ #sk-container-id-2 div.sk-serial {
129
+ display: flex;
130
+ flex-direction: column;
131
+ align-items: center;
132
+ background-color: var(--sklearn-color-background);
133
+ padding-right: 1em;
134
+ padding-left: 1em;
135
+ }
136
+
137
+
138
+ /* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
139
+ clickable and can be expanded/collapsed.
140
+ - Pipeline and ColumnTransformer use this feature and define the default style
141
+ - Estimators will overwrite some part of the style using the `sk-estimator` class
142
+ */
143
+
144
+ /* Pipeline and ColumnTransformer style (default) */
145
+
146
+ #sk-container-id-2 div.sk-toggleable {
147
+ /* Default theme specific background. It is overwritten whether we have a
148
+ specific estimator or a Pipeline/ColumnTransformer */
149
+ background-color: var(--sklearn-color-background);
150
+ }
151
+
152
+ /* Toggleable label */
153
+ #sk-container-id-2 label.sk-toggleable__label {
154
+ cursor: pointer;
155
+ display: block;
156
+ width: 100%;
157
+ margin-bottom: 0;
158
+ padding: 0.5em;
159
+ box-sizing: border-box;
160
+ text-align: center;
161
+ }
162
+
163
+ #sk-container-id-2 label.sk-toggleable__label-arrow:before {
164
+ /* Arrow on the left of the label */
165
+ content: "▸";
166
+ float: left;
167
+ margin-right: 0.25em;
168
+ color: var(--sklearn-color-icon);
169
+ }
170
+
171
+ #sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
172
+ color: var(--sklearn-color-text);
173
+ }
174
+
175
+ /* Toggleable content - dropdown */
176
+
177
+ #sk-container-id-2 div.sk-toggleable__content {
178
+ max-height: 0;
179
+ max-width: 0;
180
+ overflow: hidden;
181
+ text-align: left;
182
+ /* unfitted */
183
+ background-color: var(--sklearn-color-unfitted-level-0);
184
+ }
185
+
186
+ #sk-container-id-2 div.sk-toggleable__content.fitted {
187
+ /* fitted */
188
+ background-color: var(--sklearn-color-fitted-level-0);
189
+ }
190
+
191
+ #sk-container-id-2 div.sk-toggleable__content pre {
192
+ margin: 0.2em;
193
+ border-radius: 0.25em;
194
+ color: var(--sklearn-color-text);
195
+ /* unfitted */
196
+ background-color: var(--sklearn-color-unfitted-level-0);
197
+ }
198
+
199
+ #sk-container-id-2 div.sk-toggleable__content.fitted pre {
200
+ /* unfitted */
201
+ background-color: var(--sklearn-color-fitted-level-0);
202
+ }
203
+
204
+ #sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
205
+ /* Expand drop-down */
206
+ max-height: 200px;
207
+ max-width: 100%;
208
+ overflow: auto;
209
+ }
210
+
211
+ #sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
212
+ content: "▾";
213
+ }
214
+
215
+ /* Pipeline/ColumnTransformer-specific style */
216
+
217
+ #sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
218
+ color: var(--sklearn-color-text);
219
+ background-color: var(--sklearn-color-unfitted-level-2);
220
+ }
221
+
222
+ #sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
223
+ background-color: var(--sklearn-color-fitted-level-2);
224
+ }
225
+
226
+ /* Estimator-specific style */
227
+
228
+ /* Colorize estimator box */
229
+ #sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
230
+ /* unfitted */
231
+ background-color: var(--sklearn-color-unfitted-level-2);
232
+ }
233
+
234
+ #sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
235
+ /* fitted */
236
+ background-color: var(--sklearn-color-fitted-level-2);
237
+ }
238
+
239
+ #sk-container-id-2 div.sk-label label.sk-toggleable__label,
240
+ #sk-container-id-2 div.sk-label label {
241
+ /* The background is the default theme color */
242
+ color: var(--sklearn-color-text-on-default-background);
243
+ }
244
+
245
+ /* On hover, darken the color of the background */
246
+ #sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
247
+ color: var(--sklearn-color-text);
248
+ background-color: var(--sklearn-color-unfitted-level-2);
249
+ }
250
+
251
+ /* Label box, darken color on hover, fitted */
252
+ #sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
253
+ color: var(--sklearn-color-text);
254
+ background-color: var(--sklearn-color-fitted-level-2);
255
+ }
256
+
257
+ /* Estimator label */
258
+
259
+ #sk-container-id-2 div.sk-label label {
260
+ font-family: monospace;
261
+ font-weight: bold;
262
+ display: inline-block;
263
+ line-height: 1.2em;
264
+ }
265
+
266
+ #sk-container-id-2 div.sk-label-container {
267
+ text-align: center;
268
+ }
269
+
270
+ /* Estimator-specific */
271
+ #sk-container-id-2 div.sk-estimator {
272
+ font-family: monospace;
273
+ border: 1px dotted var(--sklearn-color-border-box);
274
+ border-radius: 0.25em;
275
+ box-sizing: border-box;
276
+ margin-bottom: 0.5em;
277
+ /* unfitted */
278
+ background-color: var(--sklearn-color-unfitted-level-0);
279
+ }
280
+
281
+ #sk-container-id-2 div.sk-estimator.fitted {
282
+ /* fitted */
283
+ background-color: var(--sklearn-color-fitted-level-0);
284
+ }
285
+
286
+ /* on hover */
287
+ #sk-container-id-2 div.sk-estimator:hover {
288
+ /* unfitted */
289
+ background-color: var(--sklearn-color-unfitted-level-2);
290
+ }
291
+
292
+ #sk-container-id-2 div.sk-estimator.fitted:hover {
293
+ /* fitted */
294
+ background-color: var(--sklearn-color-fitted-level-2);
295
+ }
296
+
297
+ /* Specification for estimator info (e.g. "i" and "?") */
298
+
299
+ /* Common style for "i" and "?" */
300
+
301
+ .sk-estimator-doc-link,
302
+ a:link.sk-estimator-doc-link,
303
+ a:visited.sk-estimator-doc-link {
304
+ float: right;
305
+ font-size: smaller;
306
+ line-height: 1em;
307
+ font-family: monospace;
308
+ background-color: var(--sklearn-color-background);
309
+ border-radius: 1em;
310
+ height: 1em;
311
+ width: 1em;
312
+ text-decoration: none !important;
313
+ margin-left: 1ex;
314
+ /* unfitted */
315
+ border: var(--sklearn-color-unfitted-level-1) 1pt solid;
316
+ color: var(--sklearn-color-unfitted-level-1);
317
+ }
318
+
319
+ .sk-estimator-doc-link.fitted,
320
+ a:link.sk-estimator-doc-link.fitted,
321
+ a:visited.sk-estimator-doc-link.fitted {
322
+ /* fitted */
323
+ border: var(--sklearn-color-fitted-level-1) 1pt solid;
324
+ color: var(--sklearn-color-fitted-level-1);
325
+ }
326
+
327
+ /* On hover */
328
+ div.sk-estimator:hover .sk-estimator-doc-link:hover,
329
+ .sk-estimator-doc-link:hover,
330
+ div.sk-label-container:hover .sk-estimator-doc-link:hover,
331
+ .sk-estimator-doc-link:hover {
332
+ /* unfitted */
333
+ background-color: var(--sklearn-color-unfitted-level-3);
334
+ color: var(--sklearn-color-background);
335
+ text-decoration: none;
336
+ }
337
+
338
+ div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
339
+ .sk-estimator-doc-link.fitted:hover,
340
+ div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
341
+ .sk-estimator-doc-link.fitted:hover {
342
+ /* fitted */
343
+ background-color: var(--sklearn-color-fitted-level-3);
344
+ color: var(--sklearn-color-background);
345
+ text-decoration: none;
346
+ }
347
+
348
+ /* Span, style for the box shown on hovering the info icon */
349
+ .sk-estimator-doc-link span {
350
+ display: none;
351
+ z-index: 9999;
352
+ position: relative;
353
+ font-weight: normal;
354
+ right: .2ex;
355
+ padding: .5ex;
356
+ margin: .5ex;
357
+ width: min-content;
358
+ min-width: 20ex;
359
+ max-width: 50ex;
360
+ color: var(--sklearn-color-text);
361
+ box-shadow: 2pt 2pt 4pt #999;
362
+ /* unfitted */
363
+ background: var(--sklearn-color-unfitted-level-0);
364
+ border: .5pt solid var(--sklearn-color-unfitted-level-3);
365
+ }
366
+
367
+ .sk-estimator-doc-link.fitted span {
368
+ /* fitted */
369
+ background: var(--sklearn-color-fitted-level-0);
370
+ border: var(--sklearn-color-fitted-level-3);
371
+ }
372
+
373
+ .sk-estimator-doc-link:hover span {
374
+ display: block;
375
+ }
376
+
377
+ /* "?"-specific style due to the `<a>` HTML tag */
378
+
379
+ #sk-container-id-2 a.estimator_doc_link {
380
+ float: right;
381
+ font-size: 1rem;
382
+ line-height: 1em;
383
+ font-family: monospace;
384
+ background-color: var(--sklearn-color-background);
385
+ border-radius: 1rem;
386
+ height: 1rem;
387
+ width: 1rem;
388
+ text-decoration: none;
389
+ /* unfitted */
390
+ color: var(--sklearn-color-unfitted-level-1);
391
+ border: var(--sklearn-color-unfitted-level-1) 1pt solid;
392
+ }
393
+
394
+ #sk-container-id-2 a.estimator_doc_link.fitted {
395
+ /* fitted */
396
+ border: var(--sklearn-color-fitted-level-1) 1pt solid;
397
+ color: var(--sklearn-color-fitted-level-1);
398
+ }
399
+
400
+ /* On hover */
401
+ #sk-container-id-2 a.estimator_doc_link:hover {
402
+ /* unfitted */
403
+ background-color: var(--sklearn-color-unfitted-level-3);
404
+ color: var(--sklearn-color-background);
405
+ text-decoration: none;
406
+ }
407
+
408
+ #sk-container-id-2 a.estimator_doc_link.fitted:hover {
409
+ /* fitted */
410
+ background-color: var(--sklearn-color-fitted-level-3);
411
+ }
412
+ </style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor(max_depth=34)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html">?<span>Documentation for RandomForestRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestRegressor(max_depth=34)</pre></div> </div></div></div></div>
413
+ </body>
414
+ </html>
415
+
mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/MLmodel ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ artifact_path: model
2
+ flavors:
3
+ python_function:
4
+ env:
5
+ conda: conda.yaml
6
+ virtualenv: python_env.yaml
7
+ loader_module: mlflow.sklearn
8
+ model_path: model.pkl
9
+ predict_fn: predict
10
+ python_version: 3.11.0
11
+ sklearn:
12
+ code: null
13
+ pickled_model: model.pkl
14
+ serialization_format: cloudpickle
15
+ sklearn_version: 1.5.2
16
+ mlflow_version: 2.16.2
17
+ model_size_bytes: 34769333
18
+ model_uuid: a4454c410eb04397aeb3487d1219327c
19
+ run_id: 135e604974134ca4877227251e765174
20
+ signature:
21
+ inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
22
+ outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
23
+ 6]}}]'
24
+ params: null
25
+ utc_time_created: '2024-09-29 22:07:51.285707'
mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/conda.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ channels:
2
+ - conda-forge
3
+ dependencies:
4
+ - python=3.11.0
5
+ - pip<=24.2
6
+ - pip:
7
+ - mlflow==2.16.2
8
+ - cloudpickle==3.0.0
9
+ - numpy==1.26.2
10
+ - pandas==2.2.2
11
+ - psutil==5.9.4
12
+ - scikit-learn==1.5.2
13
+ - scipy==1.11.4
14
+ - typing==3.7.4.3
15
+ name: mlflow-env
mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b51c46f274e74ab79fd748cbe4fa01c5216d66f347bd96f71cfedf31015152f
3
+ size 34769333
mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/python_env.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ python: 3.11.0
2
+ build_dependencies:
3
+ - pip==24.2
4
+ - setuptools==65.5.0
5
+ - wheel==0.41.2
6
+ dependencies:
7
+ - -r requirements.txt
mlartifacts/149819317988706962/135e604974134ca4877227251e765174/artifacts/model/requirements.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ mlflow==2.16.2
2
+ cloudpickle==3.0.0
3
+ numpy==1.26.2
4
+ pandas==2.2.2
5
+ psutil==5.9.4
6
+ scikit-learn==1.5.2
7
+ scipy==1.11.4
8
+ typing==3.7.4.3
mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/estimator.html ADDED
@@ -0,0 +1,415 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ <!DOCTYPE html>
3
+ <html lang="en">
4
+ <head>
5
+ <meta charset="UTF-8"/>
6
+ </head>
7
+ <body>
8
+ <style>#sk-container-id-2 {
9
+ /* Definition of color scheme common for light and dark mode */
10
+ --sklearn-color-text: black;
11
+ --sklearn-color-line: gray;
12
+ /* Definition of color scheme for unfitted estimators */
13
+ --sklearn-color-unfitted-level-0: #fff5e6;
14
+ --sklearn-color-unfitted-level-1: #f6e4d2;
15
+ --sklearn-color-unfitted-level-2: #ffe0b3;
16
+ --sklearn-color-unfitted-level-3: chocolate;
17
+ /* Definition of color scheme for fitted estimators */
18
+ --sklearn-color-fitted-level-0: #f0f8ff;
19
+ --sklearn-color-fitted-level-1: #d4ebff;
20
+ --sklearn-color-fitted-level-2: #b3dbfd;
21
+ --sklearn-color-fitted-level-3: cornflowerblue;
22
+
23
+ /* Specific color for light theme */
24
+ --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
25
+ --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));
26
+ --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));
27
+ --sklearn-color-icon: #696969;
28
+
29
+ @media (prefers-color-scheme: dark) {
30
+ /* Redefinition of color scheme for dark theme */
31
+ --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
32
+ --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));
33
+ --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));
34
+ --sklearn-color-icon: #878787;
35
+ }
36
+ }
37
+
38
+ #sk-container-id-2 {
39
+ color: var(--sklearn-color-text);
40
+ }
41
+
42
+ #sk-container-id-2 pre {
43
+ padding: 0;
44
+ }
45
+
46
+ #sk-container-id-2 input.sk-hidden--visually {
47
+ border: 0;
48
+ clip: rect(1px 1px 1px 1px);
49
+ clip: rect(1px, 1px, 1px, 1px);
50
+ height: 1px;
51
+ margin: -1px;
52
+ overflow: hidden;
53
+ padding: 0;
54
+ position: absolute;
55
+ width: 1px;
56
+ }
57
+
58
+ #sk-container-id-2 div.sk-dashed-wrapped {
59
+ border: 1px dashed var(--sklearn-color-line);
60
+ margin: 0 0.4em 0.5em 0.4em;
61
+ box-sizing: border-box;
62
+ padding-bottom: 0.4em;
63
+ background-color: var(--sklearn-color-background);
64
+ }
65
+
66
+ #sk-container-id-2 div.sk-container {
67
+ /* jupyter's `normalize.less` sets `[hidden] { display: none; }`
68
+ but bootstrap.min.css set `[hidden] { display: none !important; }`
69
+ so we also need the `!important` here to be able to override the
70
+ default hidden behavior on the sphinx rendered scikit-learn.org.
71
+ See: https://github.com/scikit-learn/scikit-learn/issues/21755 */
72
+ display: inline-block !important;
73
+ position: relative;
74
+ }
75
+
76
+ #sk-container-id-2 div.sk-text-repr-fallback {
77
+ display: none;
78
+ }
79
+
80
+ div.sk-parallel-item,
81
+ div.sk-serial,
82
+ div.sk-item {
83
+ /* draw centered vertical line to link estimators */
84
+ background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));
85
+ background-size: 2px 100%;
86
+ background-repeat: no-repeat;
87
+ background-position: center center;
88
+ }
89
+
90
+ /* Parallel-specific style estimator block */
91
+
92
+ #sk-container-id-2 div.sk-parallel-item::after {
93
+ content: "";
94
+ width: 100%;
95
+ border-bottom: 2px solid var(--sklearn-color-text-on-default-background);
96
+ flex-grow: 1;
97
+ }
98
+
99
+ #sk-container-id-2 div.sk-parallel {
100
+ display: flex;
101
+ align-items: stretch;
102
+ justify-content: center;
103
+ background-color: var(--sklearn-color-background);
104
+ position: relative;
105
+ }
106
+
107
+ #sk-container-id-2 div.sk-parallel-item {
108
+ display: flex;
109
+ flex-direction: column;
110
+ }
111
+
112
+ #sk-container-id-2 div.sk-parallel-item:first-child::after {
113
+ align-self: flex-end;
114
+ width: 50%;
115
+ }
116
+
117
+ #sk-container-id-2 div.sk-parallel-item:last-child::after {
118
+ align-self: flex-start;
119
+ width: 50%;
120
+ }
121
+
122
+ #sk-container-id-2 div.sk-parallel-item:only-child::after {
123
+ width: 0;
124
+ }
125
+
126
+ /* Serial-specific style estimator block */
127
+
128
+ #sk-container-id-2 div.sk-serial {
129
+ display: flex;
130
+ flex-direction: column;
131
+ align-items: center;
132
+ background-color: var(--sklearn-color-background);
133
+ padding-right: 1em;
134
+ padding-left: 1em;
135
+ }
136
+
137
+
138
+ /* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is
139
+ clickable and can be expanded/collapsed.
140
+ - Pipeline and ColumnTransformer use this feature and define the default style
141
+ - Estimators will overwrite some part of the style using the `sk-estimator` class
142
+ */
143
+
144
+ /* Pipeline and ColumnTransformer style (default) */
145
+
146
+ #sk-container-id-2 div.sk-toggleable {
147
+ /* Default theme specific background. It is overwritten whether we have a
148
+ specific estimator or a Pipeline/ColumnTransformer */
149
+ background-color: var(--sklearn-color-background);
150
+ }
151
+
152
+ /* Toggleable label */
153
+ #sk-container-id-2 label.sk-toggleable__label {
154
+ cursor: pointer;
155
+ display: block;
156
+ width: 100%;
157
+ margin-bottom: 0;
158
+ padding: 0.5em;
159
+ box-sizing: border-box;
160
+ text-align: center;
161
+ }
162
+
163
+ #sk-container-id-2 label.sk-toggleable__label-arrow:before {
164
+ /* Arrow on the left of the label */
165
+ content: "▸";
166
+ float: left;
167
+ margin-right: 0.25em;
168
+ color: var(--sklearn-color-icon);
169
+ }
170
+
171
+ #sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {
172
+ color: var(--sklearn-color-text);
173
+ }
174
+
175
+ /* Toggleable content - dropdown */
176
+
177
+ #sk-container-id-2 div.sk-toggleable__content {
178
+ max-height: 0;
179
+ max-width: 0;
180
+ overflow: hidden;
181
+ text-align: left;
182
+ /* unfitted */
183
+ background-color: var(--sklearn-color-unfitted-level-0);
184
+ }
185
+
186
+ #sk-container-id-2 div.sk-toggleable__content.fitted {
187
+ /* fitted */
188
+ background-color: var(--sklearn-color-fitted-level-0);
189
+ }
190
+
191
+ #sk-container-id-2 div.sk-toggleable__content pre {
192
+ margin: 0.2em;
193
+ border-radius: 0.25em;
194
+ color: var(--sklearn-color-text);
195
+ /* unfitted */
196
+ background-color: var(--sklearn-color-unfitted-level-0);
197
+ }
198
+
199
+ #sk-container-id-2 div.sk-toggleable__content.fitted pre {
200
+ /* unfitted */
201
+ background-color: var(--sklearn-color-fitted-level-0);
202
+ }
203
+
204
+ #sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {
205
+ /* Expand drop-down */
206
+ max-height: 200px;
207
+ max-width: 100%;
208
+ overflow: auto;
209
+ }
210
+
211
+ #sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {
212
+ content: "▾";
213
+ }
214
+
215
+ /* Pipeline/ColumnTransformer-specific style */
216
+
217
+ #sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {
218
+ color: var(--sklearn-color-text);
219
+ background-color: var(--sklearn-color-unfitted-level-2);
220
+ }
221
+
222
+ #sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
223
+ background-color: var(--sklearn-color-fitted-level-2);
224
+ }
225
+
226
+ /* Estimator-specific style */
227
+
228
+ /* Colorize estimator box */
229
+ #sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {
230
+ /* unfitted */
231
+ background-color: var(--sklearn-color-unfitted-level-2);
232
+ }
233
+
234
+ #sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {
235
+ /* fitted */
236
+ background-color: var(--sklearn-color-fitted-level-2);
237
+ }
238
+
239
+ #sk-container-id-2 div.sk-label label.sk-toggleable__label,
240
+ #sk-container-id-2 div.sk-label label {
241
+ /* The background is the default theme color */
242
+ color: var(--sklearn-color-text-on-default-background);
243
+ }
244
+
245
+ /* On hover, darken the color of the background */
246
+ #sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {
247
+ color: var(--sklearn-color-text);
248
+ background-color: var(--sklearn-color-unfitted-level-2);
249
+ }
250
+
251
+ /* Label box, darken color on hover, fitted */
252
+ #sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {
253
+ color: var(--sklearn-color-text);
254
+ background-color: var(--sklearn-color-fitted-level-2);
255
+ }
256
+
257
+ /* Estimator label */
258
+
259
+ #sk-container-id-2 div.sk-label label {
260
+ font-family: monospace;
261
+ font-weight: bold;
262
+ display: inline-block;
263
+ line-height: 1.2em;
264
+ }
265
+
266
+ #sk-container-id-2 div.sk-label-container {
267
+ text-align: center;
268
+ }
269
+
270
+ /* Estimator-specific */
271
+ #sk-container-id-2 div.sk-estimator {
272
+ font-family: monospace;
273
+ border: 1px dotted var(--sklearn-color-border-box);
274
+ border-radius: 0.25em;
275
+ box-sizing: border-box;
276
+ margin-bottom: 0.5em;
277
+ /* unfitted */
278
+ background-color: var(--sklearn-color-unfitted-level-0);
279
+ }
280
+
281
+ #sk-container-id-2 div.sk-estimator.fitted {
282
+ /* fitted */
283
+ background-color: var(--sklearn-color-fitted-level-0);
284
+ }
285
+
286
+ /* on hover */
287
+ #sk-container-id-2 div.sk-estimator:hover {
288
+ /* unfitted */
289
+ background-color: var(--sklearn-color-unfitted-level-2);
290
+ }
291
+
292
+ #sk-container-id-2 div.sk-estimator.fitted:hover {
293
+ /* fitted */
294
+ background-color: var(--sklearn-color-fitted-level-2);
295
+ }
296
+
297
+ /* Specification for estimator info (e.g. "i" and "?") */
298
+
299
+ /* Common style for "i" and "?" */
300
+
301
+ .sk-estimator-doc-link,
302
+ a:link.sk-estimator-doc-link,
303
+ a:visited.sk-estimator-doc-link {
304
+ float: right;
305
+ font-size: smaller;
306
+ line-height: 1em;
307
+ font-family: monospace;
308
+ background-color: var(--sklearn-color-background);
309
+ border-radius: 1em;
310
+ height: 1em;
311
+ width: 1em;
312
+ text-decoration: none !important;
313
+ margin-left: 1ex;
314
+ /* unfitted */
315
+ border: var(--sklearn-color-unfitted-level-1) 1pt solid;
316
+ color: var(--sklearn-color-unfitted-level-1);
317
+ }
318
+
319
+ .sk-estimator-doc-link.fitted,
320
+ a:link.sk-estimator-doc-link.fitted,
321
+ a:visited.sk-estimator-doc-link.fitted {
322
+ /* fitted */
323
+ border: var(--sklearn-color-fitted-level-1) 1pt solid;
324
+ color: var(--sklearn-color-fitted-level-1);
325
+ }
326
+
327
+ /* On hover */
328
+ div.sk-estimator:hover .sk-estimator-doc-link:hover,
329
+ .sk-estimator-doc-link:hover,
330
+ div.sk-label-container:hover .sk-estimator-doc-link:hover,
331
+ .sk-estimator-doc-link:hover {
332
+ /* unfitted */
333
+ background-color: var(--sklearn-color-unfitted-level-3);
334
+ color: var(--sklearn-color-background);
335
+ text-decoration: none;
336
+ }
337
+
338
+ div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,
339
+ .sk-estimator-doc-link.fitted:hover,
340
+ div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
341
+ .sk-estimator-doc-link.fitted:hover {
342
+ /* fitted */
343
+ background-color: var(--sklearn-color-fitted-level-3);
344
+ color: var(--sklearn-color-background);
345
+ text-decoration: none;
346
+ }
347
+
348
+ /* Span, style for the box shown on hovering the info icon */
349
+ .sk-estimator-doc-link span {
350
+ display: none;
351
+ z-index: 9999;
352
+ position: relative;
353
+ font-weight: normal;
354
+ right: .2ex;
355
+ padding: .5ex;
356
+ margin: .5ex;
357
+ width: min-content;
358
+ min-width: 20ex;
359
+ max-width: 50ex;
360
+ color: var(--sklearn-color-text);
361
+ box-shadow: 2pt 2pt 4pt #999;
362
+ /* unfitted */
363
+ background: var(--sklearn-color-unfitted-level-0);
364
+ border: .5pt solid var(--sklearn-color-unfitted-level-3);
365
+ }
366
+
367
+ .sk-estimator-doc-link.fitted span {
368
+ /* fitted */
369
+ background: var(--sklearn-color-fitted-level-0);
370
+ border: var(--sklearn-color-fitted-level-3);
371
+ }
372
+
373
+ .sk-estimator-doc-link:hover span {
374
+ display: block;
375
+ }
376
+
377
+ /* "?"-specific style due to the `<a>` HTML tag */
378
+
379
+ #sk-container-id-2 a.estimator_doc_link {
380
+ float: right;
381
+ font-size: 1rem;
382
+ line-height: 1em;
383
+ font-family: monospace;
384
+ background-color: var(--sklearn-color-background);
385
+ border-radius: 1rem;
386
+ height: 1rem;
387
+ width: 1rem;
388
+ text-decoration: none;
389
+ /* unfitted */
390
+ color: var(--sklearn-color-unfitted-level-1);
391
+ border: var(--sklearn-color-unfitted-level-1) 1pt solid;
392
+ }
393
+
394
+ #sk-container-id-2 a.estimator_doc_link.fitted {
395
+ /* fitted */
396
+ border: var(--sklearn-color-fitted-level-1) 1pt solid;
397
+ color: var(--sklearn-color-fitted-level-1);
398
+ }
399
+
400
+ /* On hover */
401
+ #sk-container-id-2 a.estimator_doc_link:hover {
402
+ /* unfitted */
403
+ background-color: var(--sklearn-color-unfitted-level-3);
404
+ color: var(--sklearn-color-background);
405
+ text-decoration: none;
406
+ }
407
+
408
+ #sk-container-id-2 a.estimator_doc_link.fitted:hover {
409
+ /* fitted */
410
+ background-color: var(--sklearn-color-fitted-level-3);
411
+ }
412
+ </style><div id="sk-container-id-2" class="sk-top-container"><div class="sk-text-repr-fallback"><pre>RandomForestRegressor(max_depth=34)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable__control sk-hidden--visually" id="sk-estimator-id-2" type="checkbox" checked><label for="sk-estimator-id-2" class="sk-toggleable__label fitted sk-toggleable__label-arrow fitted">&nbsp;&nbsp;RandomForestRegressor<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="_blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.ensemble.RandomForestRegressor.html">?<span>Documentation for RandomForestRegressor</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable__content fitted"><pre>RandomForestRegressor(max_depth=34)</pre></div> </div></div></div></div>
413
+ </body>
414
+ </html>
415
+
mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/MLmodel ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ artifact_path: model
2
+ flavors:
3
+ python_function:
4
+ env:
5
+ conda: conda.yaml
6
+ virtualenv: python_env.yaml
7
+ loader_module: mlflow.sklearn
8
+ model_path: model.pkl
9
+ predict_fn: predict
10
+ python_version: 3.11.0
11
+ sklearn:
12
+ code: null
13
+ pickled_model: model.pkl
14
+ serialization_format: cloudpickle
15
+ sklearn_version: 1.5.2
16
+ mlflow_version: 2.16.2
17
+ model_size_bytes: 34769333
18
+ model_uuid: 8332f56e26444f36b4c0ca9a376792c0
19
+ run_id: 482f080397f8479f94024fbed2a3937a
20
+ signature:
21
+ inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
22
+ outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1,
23
+ 6]}}]'
24
+ params: null
25
+ utc_time_created: '2024-09-29 21:39:32.284449'
mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/conda.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ channels:
2
+ - conda-forge
3
+ dependencies:
4
+ - python=3.11.0
5
+ - pip<=24.2
6
+ - pip:
7
+ - mlflow==2.16.2
8
+ - cloudpickle==3.0.0
9
+ - numpy==1.26.2
10
+ - pandas==2.2.2
11
+ - psutil==5.9.4
12
+ - scikit-learn==1.5.2
13
+ - scipy==1.11.4
14
+ - typing==3.7.4.3
15
+ name: mlflow-env
mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/model.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6b51c46f274e74ab79fd748cbe4fa01c5216d66f347bd96f71cfedf31015152f
3
+ size 34769333
mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/python_env.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ python: 3.11.0
2
+ build_dependencies:
3
+ - pip==24.2
4
+ - setuptools==65.5.0
5
+ - wheel==0.41.2
6
+ dependencies:
7
+ - -r requirements.txt
mlartifacts/149819317988706962/482f080397f8479f94024fbed2a3937a/artifacts/model/requirements.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ mlflow==2.16.2
2
+ cloudpickle==3.0.0
3
+ numpy==1.26.2
4
+ pandas==2.2.2
5
+ psutil==5.9.4
6
+ scikit-learn==1.5.2
7
+ scipy==1.11.4
8
+ typing==3.7.4.3
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/feature_importance_weight.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"f0": 30335.0, "f1": 12283.0, "f2": 8903.0, "f3": 6526.0, "f4": 8117.0, "f5": 7541.0, "f6": 6146.0, "f7": 6050.0, "f8": 3123.0, "f9": 3844.0, "f10": 6510.0, "f11": 4622.0, "f12": 3717.0, "f13": 3799.0, "f14": 2906.0, "f15": 3587.0, "f16": 3904.0, "f17": 4225.0, "f18": 3999.0, "f19": 2503.0, "f20": 2764.0, "f21": 4179.0, "f22": 4006.0, "f23": 3549.0, "f24": 3621.0, "f25": 2669.0, "f26": 2954.0, "f27": 3504.0, "f28": 3645.0, "f29": 3696.0, "f30": 2283.0, "f31": 2338.0, "f32": 3725.0}
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/feature_importance_weight.png ADDED
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/MLmodel ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ artifact_path: model
2
+ flavors:
3
+ python_function:
4
+ data: model.xgb
5
+ env:
6
+ conda: conda.yaml
7
+ virtualenv: python_env.yaml
8
+ loader_module: mlflow.xgboost
9
+ python_version: 3.11.0
10
+ xgboost:
11
+ code: null
12
+ data: model.xgb
13
+ model_class: xgboost.sklearn.XGBRegressor
14
+ model_format: xgb
15
+ xgb_version: 2.1.1
16
+ mlflow_version: 2.16.2
17
+ model_size_bytes: 12354728
18
+ model_uuid: 4edaf6d4ff8a40fc9b0964a865424d34
19
+ run_id: 32599368741e4784aaa387a8ec350b73
20
+ signature:
21
+ inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
22
+ outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
23
+ 6]}}]'
24
+ params: null
25
+ utc_time_created: '2024-09-29 21:39:08.545139'
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/conda.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ channels:
2
+ - conda-forge
3
+ dependencies:
4
+ - python=3.11.0
5
+ - pip<=24.2
6
+ - pip:
7
+ - mlflow==2.16.2
8
+ - numpy==1.26.2
9
+ - pandas==2.2.2
10
+ - psutil==5.9.4
11
+ - scikit-learn==1.5.2
12
+ - scipy==1.11.4
13
+ - typing==3.7.4.3
14
+ - xgboost==2.1.1
15
+ name: mlflow-env
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/model.xgb ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c823873e6e051da216bde5618c3db8390d1cdc8e1edd143c59272d69548fc05f
3
+ size 12354728
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/python_env.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ python: 3.11.0
2
+ build_dependencies:
3
+ - pip==24.2
4
+ - setuptools==65.5.0
5
+ - wheel==0.41.2
6
+ dependencies:
7
+ - -r requirements.txt
mlartifacts/674375719018272828/32599368741e4784aaa387a8ec350b73/artifacts/model/requirements.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ mlflow==2.16.2
2
+ numpy==1.26.2
3
+ pandas==2.2.2
4
+ psutil==5.9.4
5
+ scikit-learn==1.5.2
6
+ scipy==1.11.4
7
+ typing==3.7.4.3
8
+ xgboost==2.1.1
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/feature_importance_weight.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"f0": 30335.0, "f1": 12283.0, "f2": 8903.0, "f3": 6526.0, "f4": 8117.0, "f5": 7541.0, "f6": 6146.0, "f7": 6050.0, "f8": 3123.0, "f9": 3844.0, "f10": 6510.0, "f11": 4622.0, "f12": 3717.0, "f13": 3799.0, "f14": 2906.0, "f15": 3587.0, "f16": 3904.0, "f17": 4225.0, "f18": 3999.0, "f19": 2503.0, "f20": 2764.0, "f21": 4179.0, "f22": 4006.0, "f23": 3549.0, "f24": 3621.0, "f25": 2669.0, "f26": 2954.0, "f27": 3504.0, "f28": 3645.0, "f29": 3696.0, "f30": 2283.0, "f31": 2338.0, "f32": 3725.0}
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/feature_importance_weight.png ADDED
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/MLmodel ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ artifact_path: model
2
+ flavors:
3
+ python_function:
4
+ data: model.xgb
5
+ env:
6
+ conda: conda.yaml
7
+ virtualenv: python_env.yaml
8
+ loader_module: mlflow.xgboost
9
+ python_version: 3.11.0
10
+ xgboost:
11
+ code: null
12
+ data: model.xgb
13
+ model_class: xgboost.sklearn.XGBRegressor
14
+ model_format: xgb
15
+ xgb_version: 2.1.1
16
+ mlflow_version: 2.16.2
17
+ model_size_bytes: 12354728
18
+ model_uuid: 396887145670421a8e9de946e780f70c
19
+ run_id: cd9988d7e06c48de83346b5b74c4bb2b
20
+ signature:
21
+ inputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float64", "shape": [-1, 33]}}]'
22
+ outputs: '[{"type": "tensor", "tensor-spec": {"dtype": "float32", "shape": [-1,
23
+ 6]}}]'
24
+ params: null
25
+ utc_time_created: '2024-09-29 22:07:19.914112'
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/conda.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ channels:
2
+ - conda-forge
3
+ dependencies:
4
+ - python=3.11.0
5
+ - pip<=24.2
6
+ - pip:
7
+ - mlflow==2.16.2
8
+ - numpy==1.26.2
9
+ - pandas==2.2.2
10
+ - psutil==5.9.4
11
+ - scikit-learn==1.5.2
12
+ - scipy==1.11.4
13
+ - typing==3.7.4.3
14
+ - xgboost==2.1.1
15
+ name: mlflow-env
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/model.xgb ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c823873e6e051da216bde5618c3db8390d1cdc8e1edd143c59272d69548fc05f
3
+ size 12354728
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/python_env.yaml ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ python: 3.11.0
2
+ build_dependencies:
3
+ - pip==24.2
4
+ - setuptools==65.5.0
5
+ - wheel==0.41.2
6
+ dependencies:
7
+ - -r requirements.txt
mlartifacts/674375719018272828/cd9988d7e06c48de83346b5b74c4bb2b/artifacts/model/requirements.txt ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ mlflow==2.16.2
2
+ numpy==1.26.2
3
+ pandas==2.2.2
4
+ psutil==5.9.4
5
+ scikit-learn==1.5.2
6
+ scipy==1.11.4
7
+ typing==3.7.4.3
8
+ xgboost==2.1.1
mlruns/149819317988706962/135e604974134ca4877227251e765174/inputs/3fe337ab19a414567ce38811567fb03e/meta.yaml ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ destination_id: 19d2a1faf215ef44b979bbf135902c21
2
+ destination_type: RUN
3
+ source_id: 19d2a1faf215ef44b979bbf135902c21
4
+ source_type: DATASET
5
+ tags:
6
+ mlflow.data.context: eval
mlruns/149819317988706962/135e604974134ca4877227251e765174/inputs/dd0e35259bcd70279473e4da28a45714/meta.yaml ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ destination_id: dd4d89a524510f8914834c3bc9cd9e95
2
+ destination_type: RUN
3
+ source_id: dd4d89a524510f8914834c3bc9cd9e95
4
+ source_type: DATASET
5
+ tags:
6
+ mlflow.data.context: train
mlruns/149819317988706962/135e604974134ca4877227251e765174/meta.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ artifact_uri: mlflow-artifacts:/149819317988706962/135e604974134ca4877227251e765174/artifacts
2
+ end_time: 1727647677549
3
+ entry_point_name: ''
4
+ experiment_id: '149819317988706962'
5
+ lifecycle_stage: active
6
+ run_id: 135e604974134ca4877227251e765174
7
+ run_name: salty-pug-249
8
+ run_uuid: 135e604974134ca4877227251e765174
9
+ source_name: ''
10
+ source_type: 4
11
+ source_version: ''
12
+ start_time: 1727647660078
13
+ status: 3
14
+ tags: []
15
+ user_id: User
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/cpu_utilization_percentage ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 69.4 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/disk_available_megabytes ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 90944.5 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/disk_usage_megabytes ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 420192.6 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/disk_usage_percentage ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 82.2 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/gpu_0_memory_usage_megabytes ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 440.2 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/gpu_0_memory_usage_percentage ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 20.5 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/gpu_0_utilization_percentage ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 0.0 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/network_receive_megabytes ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 0.0 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/network_transmit_megabytes ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 0.0 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/system_memory_usage_megabytes ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 14192.0 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/system/system_memory_usage_percentage ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647670262 83.6 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_mean_absolute_error ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647671068 1.4686008020663406 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_mean_squared_error ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647671068 4.513877183591633 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_r2_score ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647671068 0.934567668476269 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_root_mean_squared_error ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647671068 2.124588709278018 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/metrics/training_score ADDED
@@ -0,0 +1 @@
 
 
1
+ 1727647671155 0.934567668476269 0
mlruns/149819317988706962/135e604974134ca4877227251e765174/params/bootstrap ADDED
@@ -0,0 +1 @@
 
 
1
+ True