nikhil-xyz
commited on
Commit
•
830ee7a
1
Parent(s):
9d146b1
data ingestion completed
Browse files- config/config.yaml +29 -0
- main.py +14 -1
- params.yaml +1 -0
- requirements.txt +1 -0
- research/EDA.ipynb +0 -0
- research/TRAINING.ipynb +0 -0
- research/catboost_info/catboost_training.json +1004 -0
- research/catboost_info/learn/events.out.tfevents +0 -0
- research/catboost_info/learn_error.tsv +1001 -0
- research/catboost_info/time_left.tsv +1001 -0
- research/data_ingestion.ipynb +207 -0
- research/trials.ipynb +448 -0
- src/insurancePP/components/data_ingestion.py +20 -0
- src/insurancePP/config/configuration.py +24 -0
- src/insurancePP/constants/__init__.py +4 -0
- src/insurancePP/entity/__init__.py +8 -0
- src/insurancePP/pipeline/stage1_data_ingestion.py +14 -0
- src/insurancePP/utils/common.py +1 -0
config/config.yaml
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artifacts_root: artifacts
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data_ingestion:
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root_dir: artifacts/data_ingestion
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source_URL: https://raw.githubusercontent.com/nikhil-xyz/datasets/main/insurance.csv
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local_data_file: artifacts/data_ingestion/data.csv
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data_validation:
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root_dir: artifacts/data_validation
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STATUS_FILE: artifacts/data_validation/status.txt
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ALL_REQUIRED_FILES: ["train", "test", "validation"]
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data_transformation:
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root_dir: artifacts/data_transformation
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data_path: artifacts/data_ingestion/samsum_dataset
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tokenizer_name : google/pegasus-cnn_dailymail
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model_trainer:
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root_dir: artifacts/model_trainer
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data_path: artifacts/data_transformation/samsum_dataset
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model_ckpt: google/pegasus-cnn_dailymail
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model_evaluation:
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root_dir: artifacts/model_evaluation
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data_path: artifacts/data_transformation/samsum_dataset
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model_path: artifacts/model_trainer/pegasus-samsum-model
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tokenizer_path: artifacts/model_trainer/tokenizer
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metric_file_name: artifacts/model_evaluation/metrics.csv
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main.py
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@@ -1,3 +1,16 @@
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from insurancePP.logging import logger
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-
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from insurancePP.pipeline.stage1_data_ingestion import DataIngestionTrainingPipeline
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# from textSummerizer.pipeline.stage2_data_validation import DataValidationTrainingPipeline
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# from textSummerizer.pipeline.stage3_data_transformation import DataTransformationTrainingPipeline
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# from textSummerizer.pipeline.stage4_model_trainer import ModelTrainingPipeline
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# from textSummerizer.pipeline.stage5_model_evaluation import ModelEvaluationPipeline
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from insurancePP.logging import logger
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STAGE_NAME = 'data_ingestion_training'
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try:
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logger.info(f'>>>>> stage {STAGE_NAME} has started <<<<<')
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data_ingestion_training_pipeline = DataIngestionTrainingPipeline()
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data_ingestion_training_pipeline.main()
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logger.info(f'>>>>> stage {STAGE_NAME} has completed <<<<<')
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except Exception as e:
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logger.error(f'>>>>> stage {STAGE_NAME} has failed <<<<<')
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raise e
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params.yaml
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key : value
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requirements.txt
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streamlit
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ensure==1.0.2
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python-box==6.0.2
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-e .
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streamlit
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ensure==1.0.2
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python-box==6.0.2
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PyYAML
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-e .
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research/EDA.ipynb
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The diff for this file is too large to render.
See raw diff
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research/TRAINING.ipynb
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The diff for this file is too large to render.
See raw diff
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research/catboost_info/catboost_training.json
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ADDED
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research/catboost_info/learn_error.tsv
ADDED
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
iter RMSE
|
| 2 |
+
0 11665.37266
|
| 3 |
+
1 11300.5722
|
| 4 |
+
2 10977.63098
|
| 5 |
+
3 10644.51698
|
| 6 |
+
4 10349.19492
|
| 7 |
+
5 10060.62349
|
| 8 |
+
6 9759.245362
|
| 9 |
+
7 9482.420863
|
| 10 |
+
8 9216.418283
|
| 11 |
+
9 8975.748514
|
| 12 |
+
10 8725.374018
|
| 13 |
+
11 8514.136775
|
| 14 |
+
12 8303.207119
|
| 15 |
+
13 8134.639927
|
| 16 |
+
14 7946.767015
|
| 17 |
+
15 7758.928689
|
| 18 |
+
16 7577.368866
|
| 19 |
+
17 7412.939496
|
| 20 |
+
18 7249.00222
|
| 21 |
+
19 7089.04429
|
| 22 |
+
20 6935.638366
|
| 23 |
+
21 6808.785922
|
| 24 |
+
22 6667.646987
|
| 25 |
+
23 6546.97926
|
| 26 |
+
24 6411.769012
|
| 27 |
+
25 6297.456122
|
| 28 |
+
26 6187.59216
|
| 29 |
+
27 6082.734977
|
| 30 |
+
28 5994.478028
|
| 31 |
+
29 5899.41261
|
| 32 |
+
30 5806.600728
|
| 33 |
+
31 5725.296342
|
| 34 |
+
32 5641.870309
|
| 35 |
+
33 5567.994173
|
| 36 |
+
34 5490.929662
|
| 37 |
+
35 5420.412977
|
| 38 |
+
36 5353.249507
|
| 39 |
+
37 5294.129472
|
| 40 |
+
38 5235.58545
|
| 41 |
+
39 5175.697705
|
| 42 |
+
40 5124.134864
|
| 43 |
+
41 5073.474476
|
| 44 |
+
42 5029.053608
|
| 45 |
+
43 4984.382583
|
| 46 |
+
44 4945.340664
|
| 47 |
+
45 4902.754142
|
| 48 |
+
46 4864.833261
|
| 49 |
+
47 4828.264479
|
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990 2494.268804
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992 2491.705041
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995 2486.395189
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996 2485.128255
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998 2482.870074
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research/catboost_info/time_left.tsv
ADDED
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|
| 1 |
+
iter Passed Remaining
|
| 2 |
+
0 184 184205
|
| 3 |
+
1 185 92660
|
| 4 |
+
2 188 62778
|
| 5 |
+
3 192 48027
|
| 6 |
+
4 196 39143
|
| 7 |
+
5 198 32926
|
| 8 |
+
6 201 28607
|
| 9 |
+
7 206 25611
|
| 10 |
+
8 210 23156
|
| 11 |
+
9 211 20930
|
| 12 |
+
10 213 19182
|
| 13 |
+
11 216 17850
|
| 14 |
+
12 218 16604
|
| 15 |
+
13 223 15708
|
| 16 |
+
14 224 14730
|
| 17 |
+
15 226 13901
|
| 18 |
+
16 228 13231
|
| 19 |
+
17 230 12592
|
| 20 |
+
18 232 12015
|
| 21 |
+
19 238 11663
|
| 22 |
+
20 239 11161
|
| 23 |
+
21 240 10703
|
| 24 |
+
22 242 10308
|
| 25 |
+
23 244 9941
|
| 26 |
+
24 246 9614
|
| 27 |
+
25 250 9384
|
| 28 |
+
26 252 9097
|
| 29 |
+
27 254 8830
|
| 30 |
+
28 256 8578
|
| 31 |
+
29 258 8347
|
| 32 |
+
30 260 8135
|
| 33 |
+
31 262 7934
|
| 34 |
+
32 265 7791
|
| 35 |
+
33 267 7612
|
| 36 |
+
34 269 7418
|
| 37 |
+
35 270 7255
|
| 38 |
+
36 272 7099
|
| 39 |
+
37 274 6950
|
| 40 |
+
38 276 6814
|
| 41 |
+
39 278 6690
|
| 42 |
+
40 280 6566
|
| 43 |
+
41 281 6429
|
| 44 |
+
42 283 6313
|
| 45 |
+
43 285 6205
|
| 46 |
+
44 287 6102
|
| 47 |
+
45 289 6002
|
| 48 |
+
46 291 5910
|
| 49 |
+
47 293 5828
|
| 50 |
+
48 294 5725
|
| 51 |
+
49 296 5640
|
| 52 |
+
50 298 5558
|
| 53 |
+
51 300 5479
|
| 54 |
+
52 301 5384
|
| 55 |
+
53 303 5313
|
| 56 |
+
54 305 5243
|
| 57 |
+
55 307 5191
|
| 58 |
+
56 309 5127
|
| 59 |
+
57 311 5065
|
| 60 |
+
58 313 5005
|
| 61 |
+
59 315 4945
|
| 62 |
+
60 317 4888
|
| 63 |
+
61 319 4836
|
| 64 |
+
62 322 4801
|
| 65 |
+
63 324 4748
|
| 66 |
+
64 326 4698
|
| 67 |
+
65 328 4649
|
| 68 |
+
66 330 4603
|
| 69 |
+
67 331 4541
|
| 70 |
+
68 333 4495
|
| 71 |
+
69 335 4451
|
| 72 |
+
70 339 4443
|
| 73 |
+
71 341 4400
|
| 74 |
+
72 343 4357
|
| 75 |
+
73 344 4316
|
| 76 |
+
74 346 4277
|
| 77 |
+
75 348 4239
|
| 78 |
+
76 350 4203
|
| 79 |
+
77 353 4173
|
| 80 |
+
78 354 4138
|
| 81 |
+
79 356 4103
|
| 82 |
+
80 358 4071
|
| 83 |
+
81 360 4039
|
| 84 |
+
82 362 4007
|
| 85 |
+
83 365 3980
|
| 86 |
+
84 367 3955
|
| 87 |
+
85 369 3927
|
| 88 |
+
86 371 3899
|
| 89 |
+
87 373 3875
|
| 90 |
+
88 376 3848
|
| 91 |
+
89 382 3871
|
| 92 |
+
90 386 3856
|
| 93 |
+
91 391 3862
|
| 94 |
+
92 395 3855
|
| 95 |
+
93 397 3834
|
| 96 |
+
94 400 3810
|
| 97 |
+
95 402 3791
|
| 98 |
+
96 405 3771
|
| 99 |
+
97 406 3741
|
| 100 |
+
98 409 3727
|
| 101 |
+
99 411 3704
|
| 102 |
+
100 415 3697
|
| 103 |
+
101 418 3680
|
| 104 |
+
102 420 3661
|
| 105 |
+
103 426 3678
|
| 106 |
+
104 429 3661
|
| 107 |
+
105 432 3645
|
| 108 |
+
106 434 3628
|
| 109 |
+
107 436 3602
|
| 110 |
+
108 441 3611
|
| 111 |
+
109 444 3595
|
| 112 |
+
110 446 3578
|
| 113 |
+
111 449 3564
|
| 114 |
+
112 451 3544
|
| 115 |
+
113 457 3552
|
| 116 |
+
114 460 3546
|
| 117 |
+
115 463 3530
|
| 118 |
+
116 465 3511
|
| 119 |
+
117 467 3492
|
| 120 |
+
118 471 3492
|
| 121 |
+
119 472 3467
|
| 122 |
+
120 475 3453
|
| 123 |
+
121 476 3432
|
| 124 |
+
122 479 3415
|
| 125 |
+
123 481 3398
|
| 126 |
+
124 482 3380
|
| 127 |
+
125 486 3372
|
| 128 |
+
126 488 3356
|
| 129 |
+
127 490 3344
|
| 130 |
+
128 492 3327
|
| 131 |
+
129 494 3310
|
| 132 |
+
130 496 3292
|
| 133 |
+
131 498 3276
|
| 134 |
+
132 502 3273
|
| 135 |
+
133 504 3263
|
| 136 |
+
134 506 3248
|
| 137 |
+
135 508 3228
|
| 138 |
+
136 510 3213
|
| 139 |
+
137 511 3197
|
| 140 |
+
138 516 3197
|
| 141 |
+
139 518 3186
|
| 142 |
+
140 520 3171
|
| 143 |
+
141 522 3157
|
| 144 |
+
142 524 3142
|
| 145 |
+
143 526 3129
|
| 146 |
+
144 529 3121
|
| 147 |
+
145 531 3107
|
| 148 |
+
146 532 3092
|
| 149 |
+
147 535 3083
|
| 150 |
+
148 537 3069
|
| 151 |
+
149 539 3055
|
| 152 |
+
150 541 3042
|
| 153 |
+
151 545 3041
|
| 154 |
+
152 547 3028
|
| 155 |
+
153 549 3017
|
| 156 |
+
154 551 3005
|
| 157 |
+
155 553 2991
|
| 158 |
+
156 554 2979
|
| 159 |
+
157 556 2967
|
| 160 |
+
158 558 2952
|
| 161 |
+
159 560 2940
|
| 162 |
+
160 561 2927
|
| 163 |
+
161 563 2915
|
| 164 |
+
162 565 2904
|
| 165 |
+
163 567 2894
|
| 166 |
+
164 569 2883
|
| 167 |
+
165 573 2882
|
| 168 |
+
166 575 2871
|
| 169 |
+
167 577 2860
|
| 170 |
+
168 579 2849
|
| 171 |
+
169 581 2838
|
| 172 |
+
170 583 2828
|
| 173 |
+
171 586 2824
|
| 174 |
+
172 588 2814
|
| 175 |
+
173 590 2803
|
| 176 |
+
174 592 2793
|
| 177 |
+
175 594 2783
|
| 178 |
+
176 596 2772
|
| 179 |
+
177 598 2763
|
| 180 |
+
178 600 2754
|
| 181 |
+
179 602 2745
|
| 182 |
+
180 604 2735
|
| 183 |
+
181 605 2722
|
| 184 |
+
182 607 2712
|
| 185 |
+
183 609 2702
|
| 186 |
+
184 611 2692
|
| 187 |
+
185 613 2683
|
| 188 |
+
186 616 2679
|
| 189 |
+
187 618 2670
|
| 190 |
+
188 620 2661
|
| 191 |
+
189 621 2648
|
| 192 |
+
190 623 2639
|
| 193 |
+
191 624 2630
|
| 194 |
+
192 626 2620
|
| 195 |
+
193 628 2611
|
| 196 |
+
194 631 2608
|
| 197 |
+
195 633 2599
|
| 198 |
+
196 635 2590
|
| 199 |
+
197 637 2581
|
| 200 |
+
198 639 2573
|
| 201 |
+
199 641 2565
|
| 202 |
+
200 643 2557
|
| 203 |
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201 646 2553
|
| 204 |
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202 648 2545
|
| 205 |
+
203 650 2538
|
| 206 |
+
204 652 2530
|
| 207 |
+
205 654 2522
|
| 208 |
+
206 656 2514
|
| 209 |
+
207 658 2506
|
| 210 |
+
208 661 2505
|
| 211 |
+
209 675 2541
|
| 212 |
+
210 677 2534
|
| 213 |
+
211 679 2527
|
| 214 |
+
212 682 2520
|
| 215 |
+
213 684 2513
|
| 216 |
+
214 686 2506
|
| 217 |
+
215 688 2499
|
| 218 |
+
216 692 2499
|
| 219 |
+
217 695 2493
|
| 220 |
+
218 697 2486
|
| 221 |
+
219 699 2480
|
| 222 |
+
220 702 2474
|
| 223 |
+
221 703 2466
|
| 224 |
+
222 707 2466
|
| 225 |
+
223 710 2460
|
| 226 |
+
224 712 2454
|
| 227 |
+
225 715 2449
|
| 228 |
+
226 717 2444
|
| 229 |
+
227 722 2445
|
| 230 |
+
228 724 2439
|
| 231 |
+
229 726 2431
|
| 232 |
+
230 728 2425
|
| 233 |
+
231 730 2419
|
| 234 |
+
232 733 2413
|
| 235 |
+
233 736 2411
|
| 236 |
+
234 739 2408
|
| 237 |
+
235 742 2403
|
| 238 |
+
236 744 2397
|
| 239 |
+
237 747 2392
|
| 240 |
+
238 753 2399
|
| 241 |
+
239 756 2394
|
| 242 |
+
240 758 2388
|
| 243 |
+
241 760 2383
|
| 244 |
+
242 763 2378
|
| 245 |
+
243 769 2385
|
| 246 |
+
244 772 2380
|
| 247 |
+
245 774 2374
|
| 248 |
+
246 777 2369
|
| 249 |
+
247 779 2362
|
| 250 |
+
248 782 2361
|
| 251 |
+
249 784 2354
|
| 252 |
+
250 787 2348
|
| 253 |
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251 789 2342
|
| 254 |
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252 791 2335
|
| 255 |
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253 793 2329
|
| 256 |
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254 795 2324
|
| 257 |
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255 797 2318
|
| 258 |
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256 799 2311
|
| 259 |
+
257 801 2305
|
| 260 |
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258 803 2299
|
| 261 |
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259 805 2292
|
| 262 |
+
260 807 2286
|
| 263 |
+
261 809 2279
|
| 264 |
+
262 812 2275
|
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| 717 |
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715 1847 732
|
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716 1849 730
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718 1854 724
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|
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730 1877 691
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| 753 |
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research/data_ingestion.ipynb
ADDED
|
@@ -0,0 +1,207 @@
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| 1 |
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{
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{
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"metadata": {},
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{
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"data": {
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"source": [
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"%pwd"
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{
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"source": [
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},
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{
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|
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"metadata": {},
|
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"outputs": [
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{
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"data": {
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{
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+
"execution_count": 5,
|
| 64 |
+
"metadata": {},
|
| 65 |
+
"outputs": [],
|
| 66 |
+
"source": [
|
| 67 |
+
"from dataclasses import dataclass\n",
|
| 68 |
+
"from pathlib import Path\n",
|
| 69 |
+
"\n",
|
| 70 |
+
"@dataclass(frozen=True)\n",
|
| 71 |
+
"class DataIngestionConfig:\n",
|
| 72 |
+
" root_dir: Path\n",
|
| 73 |
+
" source_URL: str\n",
|
| 74 |
+
" local_data_file: Path"
|
| 75 |
+
]
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"cell_type": "code",
|
| 79 |
+
"execution_count": 7,
|
| 80 |
+
"metadata": {},
|
| 81 |
+
"outputs": [],
|
| 82 |
+
"source": [
|
| 83 |
+
"\n",
|
| 84 |
+
"from insurancePP.constants import *\n",
|
| 85 |
+
"from insurancePP.utils.common import read_yaml, create_directories"
|
| 86 |
+
]
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"cell_type": "code",
|
| 90 |
+
"execution_count": 21,
|
| 91 |
+
"metadata": {},
|
| 92 |
+
"outputs": [],
|
| 93 |
+
"source": [
|
| 94 |
+
"class ConfigurationManager:\n",
|
| 95 |
+
" def __init__(self, config_filepath= CONFIG_FILE_PATH, params_filepath= PARAMS_FILE_PATH):\n",
|
| 96 |
+
" self.config = read_yaml(config_filepath)\n",
|
| 97 |
+
" self.params = read_yaml(params_filepath)\n",
|
| 98 |
+
" \n",
|
| 99 |
+
" create_directories([self.config.artifacts_root])\n",
|
| 100 |
+
" # logger.info(f\"Root directory {self.config.artifacts_root} created successfully\") \n",
|
| 101 |
+
" \n",
|
| 102 |
+
" \n",
|
| 103 |
+
" def get_data_ingestion_config(self) -> DataIngestionConfig:\n",
|
| 104 |
+
" config = self.config.data_ingestion\n",
|
| 105 |
+
" create_directories([config.root_dir])\n",
|
| 106 |
+
"\n",
|
| 107 |
+
" data_ingestion_config = DataIngestionConfig(\n",
|
| 108 |
+
" root_dir = config.root_dir,\n",
|
| 109 |
+
" source_URL = config.source_URL,\n",
|
| 110 |
+
" local_data_file = config.local_data_file\n",
|
| 111 |
+
" )\n",
|
| 112 |
+
"\n",
|
| 113 |
+
" return data_ingestion_config"
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
{
|
| 117 |
+
"cell_type": "code",
|
| 118 |
+
"execution_count": 22,
|
| 119 |
+
"metadata": {},
|
| 120 |
+
"outputs": [],
|
| 121 |
+
"source": [
|
| 122 |
+
"import os\n",
|
| 123 |
+
"import urllib.request as request\n",
|
| 124 |
+
"import zipfile\n",
|
| 125 |
+
"from insurancePP.logging import logger\n",
|
| 126 |
+
"from insurancePP.utils.common import get_size"
|
| 127 |
+
]
|
| 128 |
+
},
|
| 129 |
+
{
|
| 130 |
+
"cell_type": "code",
|
| 131 |
+
"execution_count": 23,
|
| 132 |
+
"metadata": {},
|
| 133 |
+
"outputs": [],
|
| 134 |
+
"source": [
|
| 135 |
+
"class DataIngestion:\n",
|
| 136 |
+
" def __init__(self, config: DataIngestionConfig):\n",
|
| 137 |
+
" self.config = config\n",
|
| 138 |
+
"\n",
|
| 139 |
+
" def download_file(self):\n",
|
| 140 |
+
" if not os.path.exists(self.config.local_data_file):\n",
|
| 141 |
+
" filename, headers = request.urlretrieve(\n",
|
| 142 |
+
" url = self.config.source_URL,\n",
|
| 143 |
+
" filename = self.config.local_data_file\n",
|
| 144 |
+
" )\n",
|
| 145 |
+
" logger.info(f'Downloaded {filename} to {self.config.local_data_file}')\n",
|
| 146 |
+
" else:\n",
|
| 147 |
+
" logger.info(f'File {self.config.local_data_file} already exists')"
|
| 148 |
+
]
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
+
"cell_type": "code",
|
| 152 |
+
"execution_count": 24,
|
| 153 |
+
"metadata": {},
|
| 154 |
+
"outputs": [
|
| 155 |
+
{
|
| 156 |
+
"name": "stdout",
|
| 157 |
+
"output_type": "stream",
|
| 158 |
+
"text": [
|
| 159 |
+
"[2024-02-24 20:06:22,367 : INFO : common : yaml file: config\\config.yaml loaded successfully]\n",
|
| 160 |
+
"[2024-02-24 20:06:22,375 : INFO : common : yaml file: params.yaml loaded successfully]\n",
|
| 161 |
+
"[2024-02-24 20:06:22,381 : INFO : common : directory artifacts created]\n",
|
| 162 |
+
"[2024-02-24 20:06:22,385 : INFO : common : directory artifacts/data_ingestion created]\n",
|
| 163 |
+
"[2024-02-24 20:06:23,768 : INFO : 1446037091 : Downloaded artifacts/data_ingestion/data.csv to artifacts/data_ingestion/data.csv]\n"
|
| 164 |
+
]
|
| 165 |
+
}
|
| 166 |
+
],
|
| 167 |
+
"source": [
|
| 168 |
+
"try:\n",
|
| 169 |
+
" config = ConfigurationManager()\n",
|
| 170 |
+
" data_ingestion_config = config.get_data_ingestion_config()\n",
|
| 171 |
+
" data_ingestion = DataIngestion(data_ingestion_config)\n",
|
| 172 |
+
" data_ingestion.download_file()\n",
|
| 173 |
+
"\n",
|
| 174 |
+
"except Exception as e:\n",
|
| 175 |
+
" raise e"
|
| 176 |
+
]
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"cell_type": "code",
|
| 180 |
+
"execution_count": null,
|
| 181 |
+
"metadata": {},
|
| 182 |
+
"outputs": [],
|
| 183 |
+
"source": []
|
| 184 |
+
}
|
| 185 |
+
],
|
| 186 |
+
"metadata": {
|
| 187 |
+
"kernelspec": {
|
| 188 |
+
"display_name": "venv",
|
| 189 |
+
"language": "python",
|
| 190 |
+
"name": "python3"
|
| 191 |
+
},
|
| 192 |
+
"language_info": {
|
| 193 |
+
"codemirror_mode": {
|
| 194 |
+
"name": "ipython",
|
| 195 |
+
"version": 3
|
| 196 |
+
},
|
| 197 |
+
"file_extension": ".py",
|
| 198 |
+
"mimetype": "text/x-python",
|
| 199 |
+
"name": "python",
|
| 200 |
+
"nbconvert_exporter": "python",
|
| 201 |
+
"pygments_lexer": "ipython3",
|
| 202 |
+
"version": "3.8.18"
|
| 203 |
+
}
|
| 204 |
+
},
|
| 205 |
+
"nbformat": 4,
|
| 206 |
+
"nbformat_minor": 2
|
| 207 |
+
}
|
research/trials.ipynb
CHANGED
|
@@ -0,0 +1,448 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 1,
|
| 6 |
+
"metadata": {},
|
| 7 |
+
"outputs": [],
|
| 8 |
+
"source": [
|
| 9 |
+
"url = 'https://raw.githubusercontent.com/nikhil-xyz/datasets/main/insurance.csv'"
|
| 10 |
+
]
|
| 11 |
+
},
|
| 12 |
+
{
|
| 13 |
+
"cell_type": "code",
|
| 14 |
+
"execution_count": 2,
|
| 15 |
+
"metadata": {},
|
| 16 |
+
"outputs": [],
|
| 17 |
+
"source": [
|
| 18 |
+
"import pandas as pd"
|
| 19 |
+
]
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"cell_type": "code",
|
| 23 |
+
"execution_count": 3,
|
| 24 |
+
"metadata": {},
|
| 25 |
+
"outputs": [],
|
| 26 |
+
"source": [
|
| 27 |
+
"data = pd.read_csv(url)"
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"cell_type": "code",
|
| 32 |
+
"execution_count": 4,
|
| 33 |
+
"metadata": {},
|
| 34 |
+
"outputs": [
|
| 35 |
+
{
|
| 36 |
+
"data": {
|
| 37 |
+
"text/plain": [
|
| 38 |
+
"(1338, 7)"
|
| 39 |
+
]
|
| 40 |
+
},
|
| 41 |
+
"execution_count": 4,
|
| 42 |
+
"metadata": {},
|
| 43 |
+
"output_type": "execute_result"
|
| 44 |
+
}
|
| 45 |
+
],
|
| 46 |
+
"source": [
|
| 47 |
+
"data.shape"
|
| 48 |
+
]
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"cell_type": "code",
|
| 52 |
+
"execution_count": 5,
|
| 53 |
+
"metadata": {},
|
| 54 |
+
"outputs": [
|
| 55 |
+
{
|
| 56 |
+
"data": {
|
| 57 |
+
"text/html": [
|
| 58 |
+
"<div>\n",
|
| 59 |
+
"<style scoped>\n",
|
| 60 |
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" .dataframe tbody tr th:only-of-type {\n",
|
| 61 |
+
" vertical-align: middle;\n",
|
| 62 |
+
" }\n",
|
| 63 |
+
"\n",
|
| 64 |
+
" .dataframe tbody tr th {\n",
|
| 65 |
+
" vertical-align: top;\n",
|
| 66 |
+
" }\n",
|
| 67 |
+
"\n",
|
| 68 |
+
" .dataframe thead th {\n",
|
| 69 |
+
" text-align: right;\n",
|
| 70 |
+
" }\n",
|
| 71 |
+
"</style>\n",
|
| 72 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 73 |
+
" <thead>\n",
|
| 74 |
+
" <tr style=\"text-align: right;\">\n",
|
| 75 |
+
" <th></th>\n",
|
| 76 |
+
" <th>age</th>\n",
|
| 77 |
+
" <th>sex</th>\n",
|
| 78 |
+
" <th>bmi</th>\n",
|
| 79 |
+
" <th>children</th>\n",
|
| 80 |
+
" <th>smoker</th>\n",
|
| 81 |
+
" <th>region</th>\n",
|
| 82 |
+
" <th>expenses</th>\n",
|
| 83 |
+
" </tr>\n",
|
| 84 |
+
" </thead>\n",
|
| 85 |
+
" <tbody>\n",
|
| 86 |
+
" <tr>\n",
|
| 87 |
+
" <th>0</th>\n",
|
| 88 |
+
" <td>19</td>\n",
|
| 89 |
+
" <td>female</td>\n",
|
| 90 |
+
" <td>27.9</td>\n",
|
| 91 |
+
" <td>0</td>\n",
|
| 92 |
+
" <td>yes</td>\n",
|
| 93 |
+
" <td>southwest</td>\n",
|
| 94 |
+
" <td>16884.92</td>\n",
|
| 95 |
+
" </tr>\n",
|
| 96 |
+
" <tr>\n",
|
| 97 |
+
" <th>1</th>\n",
|
| 98 |
+
" <td>18</td>\n",
|
| 99 |
+
" <td>male</td>\n",
|
| 100 |
+
" <td>33.8</td>\n",
|
| 101 |
+
" <td>1</td>\n",
|
| 102 |
+
" <td>no</td>\n",
|
| 103 |
+
" <td>southeast</td>\n",
|
| 104 |
+
" <td>1725.55</td>\n",
|
| 105 |
+
" </tr>\n",
|
| 106 |
+
" <tr>\n",
|
| 107 |
+
" <th>2</th>\n",
|
| 108 |
+
" <td>28</td>\n",
|
| 109 |
+
" <td>male</td>\n",
|
| 110 |
+
" <td>33.0</td>\n",
|
| 111 |
+
" <td>3</td>\n",
|
| 112 |
+
" <td>no</td>\n",
|
| 113 |
+
" <td>southeast</td>\n",
|
| 114 |
+
" <td>4449.46</td>\n",
|
| 115 |
+
" </tr>\n",
|
| 116 |
+
" <tr>\n",
|
| 117 |
+
" <th>3</th>\n",
|
| 118 |
+
" <td>33</td>\n",
|
| 119 |
+
" <td>male</td>\n",
|
| 120 |
+
" <td>22.7</td>\n",
|
| 121 |
+
" <td>0</td>\n",
|
| 122 |
+
" <td>no</td>\n",
|
| 123 |
+
" <td>northwest</td>\n",
|
| 124 |
+
" <td>21984.47</td>\n",
|
| 125 |
+
" </tr>\n",
|
| 126 |
+
" <tr>\n",
|
| 127 |
+
" <th>4</th>\n",
|
| 128 |
+
" <td>32</td>\n",
|
| 129 |
+
" <td>male</td>\n",
|
| 130 |
+
" <td>28.9</td>\n",
|
| 131 |
+
" <td>0</td>\n",
|
| 132 |
+
" <td>no</td>\n",
|
| 133 |
+
" <td>northwest</td>\n",
|
| 134 |
+
" <td>3866.86</td>\n",
|
| 135 |
+
" </tr>\n",
|
| 136 |
+
" </tbody>\n",
|
| 137 |
+
"</table>\n",
|
| 138 |
+
"</div>"
|
| 139 |
+
],
|
| 140 |
+
"text/plain": [
|
| 141 |
+
" age sex bmi children smoker region expenses\n",
|
| 142 |
+
"0 19 female 27.9 0 yes southwest 16884.92\n",
|
| 143 |
+
"1 18 male 33.8 1 no southeast 1725.55\n",
|
| 144 |
+
"2 28 male 33.0 3 no southeast 4449.46\n",
|
| 145 |
+
"3 33 male 22.7 0 no northwest 21984.47\n",
|
| 146 |
+
"4 32 male 28.9 0 no northwest 3866.86"
|
| 147 |
+
]
|
| 148 |
+
},
|
| 149 |
+
"execution_count": 5,
|
| 150 |
+
"metadata": {},
|
| 151 |
+
"output_type": "execute_result"
|
| 152 |
+
}
|
| 153 |
+
],
|
| 154 |
+
"source": [
|
| 155 |
+
"data.head()"
|
| 156 |
+
]
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"cell_type": "code",
|
| 160 |
+
"execution_count": 6,
|
| 161 |
+
"metadata": {},
|
| 162 |
+
"outputs": [
|
| 163 |
+
{
|
| 164 |
+
"data": {
|
| 165 |
+
"text/plain": [
|
| 166 |
+
"age 0\n",
|
| 167 |
+
"sex 0\n",
|
| 168 |
+
"bmi 0\n",
|
| 169 |
+
"children 0\n",
|
| 170 |
+
"smoker 0\n",
|
| 171 |
+
"region 0\n",
|
| 172 |
+
"expenses 0\n",
|
| 173 |
+
"dtype: int64"
|
| 174 |
+
]
|
| 175 |
+
},
|
| 176 |
+
"execution_count": 6,
|
| 177 |
+
"metadata": {},
|
| 178 |
+
"output_type": "execute_result"
|
| 179 |
+
}
|
| 180 |
+
],
|
| 181 |
+
"source": [
|
| 182 |
+
"data.isna().sum()"
|
| 183 |
+
]
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"cell_type": "code",
|
| 187 |
+
"execution_count": 9,
|
| 188 |
+
"metadata": {},
|
| 189 |
+
"outputs": [
|
| 190 |
+
{
|
| 191 |
+
"data": {
|
| 192 |
+
"text/plain": [
|
| 193 |
+
"1"
|
| 194 |
+
]
|
| 195 |
+
},
|
| 196 |
+
"execution_count": 9,
|
| 197 |
+
"metadata": {},
|
| 198 |
+
"output_type": "execute_result"
|
| 199 |
+
}
|
| 200 |
+
],
|
| 201 |
+
"source": [
|
| 202 |
+
"data.duplicated().sum()"
|
| 203 |
+
]
|
| 204 |
+
},
|
| 205 |
+
{
|
| 206 |
+
"cell_type": "code",
|
| 207 |
+
"execution_count": 11,
|
| 208 |
+
"metadata": {},
|
| 209 |
+
"outputs": [],
|
| 210 |
+
"source": [
|
| 211 |
+
"data.drop_duplicates(inplace=True)"
|
| 212 |
+
]
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"cell_type": "code",
|
| 216 |
+
"execution_count": 12,
|
| 217 |
+
"metadata": {},
|
| 218 |
+
"outputs": [
|
| 219 |
+
{
|
| 220 |
+
"data": {
|
| 221 |
+
"text/plain": [
|
| 222 |
+
"0"
|
| 223 |
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]
|
| 224 |
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},
|
| 225 |
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"execution_count": 12,
|
| 226 |
+
"metadata": {},
|
| 227 |
+
"output_type": "execute_result"
|
| 228 |
+
}
|
| 229 |
+
],
|
| 230 |
+
"source": [
|
| 231 |
+
"data.duplicated().sum()"
|
| 232 |
+
]
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"cell_type": "code",
|
| 236 |
+
"execution_count": 13,
|
| 237 |
+
"metadata": {},
|
| 238 |
+
"outputs": [
|
| 239 |
+
{
|
| 240 |
+
"name": "stdout",
|
| 241 |
+
"output_type": "stream",
|
| 242 |
+
"text": [
|
| 243 |
+
"<class 'pandas.core.frame.DataFrame'>\n",
|
| 244 |
+
"Index: 1337 entries, 0 to 1337\n",
|
| 245 |
+
"Data columns (total 7 columns):\n",
|
| 246 |
+
" # Column Non-Null Count Dtype \n",
|
| 247 |
+
"--- ------ -------------- ----- \n",
|
| 248 |
+
" 0 age 1337 non-null int64 \n",
|
| 249 |
+
" 1 sex 1337 non-null object \n",
|
| 250 |
+
" 2 bmi 1337 non-null float64\n",
|
| 251 |
+
" 3 children 1337 non-null int64 \n",
|
| 252 |
+
" 4 smoker 1337 non-null object \n",
|
| 253 |
+
" 5 region 1337 non-null object \n",
|
| 254 |
+
" 6 expenses 1337 non-null float64\n",
|
| 255 |
+
"dtypes: float64(2), int64(2), object(3)\n",
|
| 256 |
+
"memory usage: 83.6+ KB\n"
|
| 257 |
+
]
|
| 258 |
+
}
|
| 259 |
+
],
|
| 260 |
+
"source": [
|
| 261 |
+
"data.info()"
|
| 262 |
+
]
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"cell_type": "code",
|
| 266 |
+
"execution_count": 14,
|
| 267 |
+
"metadata": {},
|
| 268 |
+
"outputs": [
|
| 269 |
+
{
|
| 270 |
+
"data": {
|
| 271 |
+
"text/html": [
|
| 272 |
+
"<div>\n",
|
| 273 |
+
"<style scoped>\n",
|
| 274 |
+
" .dataframe tbody tr th:only-of-type {\n",
|
| 275 |
+
" vertical-align: middle;\n",
|
| 276 |
+
" }\n",
|
| 277 |
+
"\n",
|
| 278 |
+
" .dataframe tbody tr th {\n",
|
| 279 |
+
" vertical-align: top;\n",
|
| 280 |
+
" }\n",
|
| 281 |
+
"\n",
|
| 282 |
+
" .dataframe thead th {\n",
|
| 283 |
+
" text-align: right;\n",
|
| 284 |
+
" }\n",
|
| 285 |
+
"</style>\n",
|
| 286 |
+
"<table border=\"1\" class=\"dataframe\">\n",
|
| 287 |
+
" <thead>\n",
|
| 288 |
+
" <tr style=\"text-align: right;\">\n",
|
| 289 |
+
" <th></th>\n",
|
| 290 |
+
" <th>age</th>\n",
|
| 291 |
+
" <th>bmi</th>\n",
|
| 292 |
+
" <th>children</th>\n",
|
| 293 |
+
" <th>expenses</th>\n",
|
| 294 |
+
" </tr>\n",
|
| 295 |
+
" </thead>\n",
|
| 296 |
+
" <tbody>\n",
|
| 297 |
+
" <tr>\n",
|
| 298 |
+
" <th>count</th>\n",
|
| 299 |
+
" <td>1337.000000</td>\n",
|
| 300 |
+
" <td>1337.000000</td>\n",
|
| 301 |
+
" <td>1337.000000</td>\n",
|
| 302 |
+
" <td>1337.000000</td>\n",
|
| 303 |
+
" </tr>\n",
|
| 304 |
+
" <tr>\n",
|
| 305 |
+
" <th>mean</th>\n",
|
| 306 |
+
" <td>39.222139</td>\n",
|
| 307 |
+
" <td>30.665520</td>\n",
|
| 308 |
+
" <td>1.095737</td>\n",
|
| 309 |
+
" <td>13279.121638</td>\n",
|
| 310 |
+
" </tr>\n",
|
| 311 |
+
" <tr>\n",
|
| 312 |
+
" <th>std</th>\n",
|
| 313 |
+
" <td>14.044333</td>\n",
|
| 314 |
+
" <td>6.100664</td>\n",
|
| 315 |
+
" <td>1.205571</td>\n",
|
| 316 |
+
" <td>12110.359657</td>\n",
|
| 317 |
+
" </tr>\n",
|
| 318 |
+
" <tr>\n",
|
| 319 |
+
" <th>min</th>\n",
|
| 320 |
+
" <td>18.000000</td>\n",
|
| 321 |
+
" <td>16.000000</td>\n",
|
| 322 |
+
" <td>0.000000</td>\n",
|
| 323 |
+
" <td>1121.870000</td>\n",
|
| 324 |
+
" </tr>\n",
|
| 325 |
+
" <tr>\n",
|
| 326 |
+
" <th>25%</th>\n",
|
| 327 |
+
" <td>27.000000</td>\n",
|
| 328 |
+
" <td>26.300000</td>\n",
|
| 329 |
+
" <td>0.000000</td>\n",
|
| 330 |
+
" <td>4746.340000</td>\n",
|
| 331 |
+
" </tr>\n",
|
| 332 |
+
" <tr>\n",
|
| 333 |
+
" <th>50%</th>\n",
|
| 334 |
+
" <td>39.000000</td>\n",
|
| 335 |
+
" <td>30.400000</td>\n",
|
| 336 |
+
" <td>1.000000</td>\n",
|
| 337 |
+
" <td>9386.160000</td>\n",
|
| 338 |
+
" </tr>\n",
|
| 339 |
+
" <tr>\n",
|
| 340 |
+
" <th>75%</th>\n",
|
| 341 |
+
" <td>51.000000</td>\n",
|
| 342 |
+
" <td>34.700000</td>\n",
|
| 343 |
+
" <td>2.000000</td>\n",
|
| 344 |
+
" <td>16657.720000</td>\n",
|
| 345 |
+
" </tr>\n",
|
| 346 |
+
" <tr>\n",
|
| 347 |
+
" <th>max</th>\n",
|
| 348 |
+
" <td>64.000000</td>\n",
|
| 349 |
+
" <td>53.100000</td>\n",
|
| 350 |
+
" <td>5.000000</td>\n",
|
| 351 |
+
" <td>63770.430000</td>\n",
|
| 352 |
+
" </tr>\n",
|
| 353 |
+
" </tbody>\n",
|
| 354 |
+
"</table>\n",
|
| 355 |
+
"</div>"
|
| 356 |
+
],
|
| 357 |
+
"text/plain": [
|
| 358 |
+
" age bmi children expenses\n",
|
| 359 |
+
"count 1337.000000 1337.000000 1337.000000 1337.000000\n",
|
| 360 |
+
"mean 39.222139 30.665520 1.095737 13279.121638\n",
|
| 361 |
+
"std 14.044333 6.100664 1.205571 12110.359657\n",
|
| 362 |
+
"min 18.000000 16.000000 0.000000 1121.870000\n",
|
| 363 |
+
"25% 27.000000 26.300000 0.000000 4746.340000\n",
|
| 364 |
+
"50% 39.000000 30.400000 1.000000 9386.160000\n",
|
| 365 |
+
"75% 51.000000 34.700000 2.000000 16657.720000\n",
|
| 366 |
+
"max 64.000000 53.100000 5.000000 63770.430000"
|
| 367 |
+
]
|
| 368 |
+
},
|
| 369 |
+
"execution_count": 14,
|
| 370 |
+
"metadata": {},
|
| 371 |
+
"output_type": "execute_result"
|
| 372 |
+
}
|
| 373 |
+
],
|
| 374 |
+
"source": [
|
| 375 |
+
"data.describe()"
|
| 376 |
+
]
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"cell_type": "markdown",
|
| 380 |
+
"metadata": {},
|
| 381 |
+
"source": [
|
| 382 |
+
"- all candidated have age between 18 and 64\n",
|
| 383 |
+
"- 50% of candidated either have one kid or no kid"
|
| 384 |
+
]
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"cell_type": "markdown",
|
| 388 |
+
"metadata": {},
|
| 389 |
+
"source": [
|
| 390 |
+
"**categories inside the categorical data**"
|
| 391 |
+
]
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"cell_type": "code",
|
| 395 |
+
"execution_count": 15,
|
| 396 |
+
"metadata": {},
|
| 397 |
+
"outputs": [
|
| 398 |
+
{
|
| 399 |
+
"name": "stdout",
|
| 400 |
+
"output_type": "stream",
|
| 401 |
+
"text": [
|
| 402 |
+
"Categories in 'sex' variable: ['female' 'male']\n",
|
| 403 |
+
"Categories in 'smoker' variable: ['yes' 'no']\n",
|
| 404 |
+
"Categories in 'region' variable: ['southwest' 'southeast' 'northwest' 'northeast']\n"
|
| 405 |
+
]
|
| 406 |
+
}
|
| 407 |
+
],
|
| 408 |
+
"source": [
|
| 409 |
+
"print(\"Categories in 'sex' variable: \",end=\" \" )\n",
|
| 410 |
+
"print(data['sex'].unique())\n",
|
| 411 |
+
"\n",
|
| 412 |
+
"print(\"Categories in 'smoker' variable: \",end=\" \" )\n",
|
| 413 |
+
"print(data['smoker'].unique())\n",
|
| 414 |
+
"\n",
|
| 415 |
+
"print(\"Categories in 'region' variable: \",end=\" \" )\n",
|
| 416 |
+
"print(data['region'].unique())"
|
| 417 |
+
]
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"cell_type": "code",
|
| 421 |
+
"execution_count": null,
|
| 422 |
+
"metadata": {},
|
| 423 |
+
"outputs": [],
|
| 424 |
+
"source": []
|
| 425 |
+
}
|
| 426 |
+
],
|
| 427 |
+
"metadata": {
|
| 428 |
+
"kernelspec": {
|
| 429 |
+
"display_name": "Python 3",
|
| 430 |
+
"language": "python",
|
| 431 |
+
"name": "python3"
|
| 432 |
+
},
|
| 433 |
+
"language_info": {
|
| 434 |
+
"codemirror_mode": {
|
| 435 |
+
"name": "ipython",
|
| 436 |
+
"version": 3
|
| 437 |
+
},
|
| 438 |
+
"file_extension": ".py",
|
| 439 |
+
"mimetype": "text/x-python",
|
| 440 |
+
"name": "python",
|
| 441 |
+
"nbconvert_exporter": "python",
|
| 442 |
+
"pygments_lexer": "ipython3",
|
| 443 |
+
"version": "3.8.18"
|
| 444 |
+
}
|
| 445 |
+
},
|
| 446 |
+
"nbformat": 4,
|
| 447 |
+
"nbformat_minor": 2
|
| 448 |
+
}
|
src/insurancePP/components/data_ingestion.py
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1 |
+
import os
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| 2 |
+
import urllib.request as request
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| 3 |
+
import zipfile
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| 4 |
+
from insurancePP.logging import logger
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| 5 |
+
from insurancePP.utils.common import get_size
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| 6 |
+
from insurancePP.entity import DataIngestionConfig
|
| 7 |
+
|
| 8 |
+
class DataIngestion:
|
| 9 |
+
def __init__(self, config: DataIngestionConfig):
|
| 10 |
+
self.config = config
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| 11 |
+
|
| 12 |
+
def download_file(self):
|
| 13 |
+
if not os.path.exists(self.config.local_data_file):
|
| 14 |
+
filename, headers = request.urlretrieve(
|
| 15 |
+
url = self.config.source_URL,
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| 16 |
+
filename = self.config.local_data_file
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| 17 |
+
)
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| 18 |
+
logger.info(f'Downloaded {filename} to {self.config.local_data_file}')
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| 19 |
+
else:
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| 20 |
+
logger.info(f'File {self.config.local_data_file} already exists')
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src/insurancePP/config/configuration.py
CHANGED
|
@@ -0,0 +1,24 @@
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|
| 1 |
+
from insurancePP.constants import *
|
| 2 |
+
from insurancePP.utils.common import read_yaml, create_directories
|
| 3 |
+
from insurancePP.entity import (DataIngestionConfig)
|
| 4 |
+
|
| 5 |
+
class ConfigurationManager:
|
| 6 |
+
def __init__(self, config_filepath= CONFIG_FILE_PATH, params_filepath= PARAMS_FILE_PATH):
|
| 7 |
+
self.config = read_yaml(config_filepath)
|
| 8 |
+
self.params = read_yaml(params_filepath)
|
| 9 |
+
|
| 10 |
+
create_directories([self.config.artifacts_root])
|
| 11 |
+
# logger.info(f"Root directory {self.config.artifacts_root} created successfully")
|
| 12 |
+
|
| 13 |
+
|
| 14 |
+
def get_data_ingestion_config(self) -> DataIngestionConfig:
|
| 15 |
+
config = self.config.data_ingestion
|
| 16 |
+
create_directories([config.root_dir])
|
| 17 |
+
|
| 18 |
+
data_ingestion_config = DataIngestionConfig(
|
| 19 |
+
root_dir = config.root_dir,
|
| 20 |
+
source_URL = config.source_URL,
|
| 21 |
+
local_data_file = config.local_data_file
|
| 22 |
+
)
|
| 23 |
+
|
| 24 |
+
return data_ingestion_config
|
src/insurancePP/constants/__init__.py
CHANGED
|
@@ -0,0 +1,4 @@
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|
| 1 |
+
from pathlib import Path
|
| 2 |
+
|
| 3 |
+
CONFIG_FILE_PATH = Path("config/config.yaml")
|
| 4 |
+
PARAMS_FILE_PATH = Path("params.yaml")
|
src/insurancePP/entity/__init__.py
CHANGED
|
@@ -0,0 +1,8 @@
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|
| 1 |
+
from dataclasses import dataclass
|
| 2 |
+
from pathlib import Path
|
| 3 |
+
|
| 4 |
+
@dataclass(frozen=True)
|
| 5 |
+
class DataIngestionConfig:
|
| 6 |
+
root_dir: Path
|
| 7 |
+
source_URL: str
|
| 8 |
+
local_data_file: Path
|
src/insurancePP/pipeline/stage1_data_ingestion.py
ADDED
|
@@ -0,0 +1,14 @@
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|
| 1 |
+
from insurancePP.components.data_ingestion import DataIngestion
|
| 2 |
+
from insurancePP.config.configuration import ConfigurationManager
|
| 3 |
+
from insurancePP.logging import logger
|
| 4 |
+
|
| 5 |
+
class DataIngestionTrainingPipeline:
|
| 6 |
+
def __init__(self):
|
| 7 |
+
pass
|
| 8 |
+
|
| 9 |
+
def main(self):
|
| 10 |
+
config = ConfigurationManager()
|
| 11 |
+
data_ingestion_config = config.get_data_ingestion_config()
|
| 12 |
+
data_ingestion = DataIngestion(data_ingestion_config)
|
| 13 |
+
data_ingestion.download_file()
|
| 14 |
+
|
src/insurancePP/utils/common.py
CHANGED
|
@@ -39,6 +39,7 @@ def create_directories(path_to_directories : list, verbose=True):
|
|
| 39 |
path_to_directories (list): list of paths to directories
|
| 40 |
verbose (bool): if True, print the directory creation
|
| 41 |
"""
|
|
|
|
| 42 |
for directory in path_to_directories:
|
| 43 |
os.makedirs(directory, exist_ok=True)
|
| 44 |
if verbose:
|
|
|
|
| 39 |
path_to_directories (list): list of paths to directories
|
| 40 |
verbose (bool): if True, print the directory creation
|
| 41 |
"""
|
| 42 |
+
|
| 43 |
for directory in path_to_directories:
|
| 44 |
os.makedirs(directory, exist_ok=True)
|
| 45 |
if verbose:
|