Repository navigation
Expand file tree
/
Copy path11_regression.json
More file actions
333 lines (333 loc) · 20.1 KB
/
Copy path11_regression.json
File metadata and controls
333 lines (333 loc) · 20.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
{
"notebook": "11_regression.ipynb",
"status": "passed",
"python": "3.12.14",
"independentKernel": true,
"savedCachesUnavailable": true,
"runId": "eb26c2856316",
"sourceSha256": "4966a662f75d4d974647a599a09eb1f6b3080c49facd8fb3274de9d8dd46ac4f",
"rawManifestSha256": "ddbd13bfa5d30d80bb0e40c131043128774b8db36a501504e8b4875e7bae17a8",
"runtime": {
"schemaVersion": 1,
"sourceCommit": "db5807d6e3a85606797cda79542f2d51a80a57a6",
"numericsVersion": "2.2.0.0",
"bestFitVersion": "2.0.0.0",
"targetFramework": ".NETCoreApp,Version=v10.0",
"fileHashes": {
"RMC.BestFit.dll": "8714d7e4e9d738e99e45c36d5581ce759e8fd535361b7a141d9647a9a5eac8dd",
"Numerics.dll": "364d2296a6024643a8bf0f60d1eaa8f5be5511563dea0b5d572074e45c27ea48"
}
},
"executionInputs": {
".runtime/lib/Numerics.dll": "364d2296a6024643a8bf0f60d1eaa8f5be5511563dea0b5d572074e45c27ea48",
".runtime/lib/RMC.BestFit.dll": "8714d7e4e9d738e99e45c36d5581ce759e8fd535361b7a141d9647a9a5eac8dd",
".runtime/provenance.json": "777e085a14efb82c5ceea94d4b2634287e3d5fca70c0f30dea938548d4f1c4fa",
"bestfit_examples/__init__.py": "29b5b4d48bc95621a3e5f6f77cc45140d2c9234d2fcaab90a40e0e69bac996e3",
"bestfit_examples/analysis.py": "c96f2df00b10458e13a0094013840f44fb4cdd6fcbdd7afa8532a1d01f439abe",
"bestfit_examples/data.py": "9e1bc13f46244c8aea35afd5b3aba2f48cf3403552c657adf274916f14d4ecce",
"bestfit_examples/fresh.py": "2de31cd9803d513e7f12c7071b90dcf047176197c287912cee3ade29eddd3cba",
"bestfit_examples/plotting.py": "6ef5746f33ea6c68e7bcd1ff5320c34cc81396a4db031aa72c0540f4d7d99901",
"bestfit_examples/presentation.py": "b1059bfe167240267f34cb4c6fe7c3aba9b97ac335397d18252b7f2597b4c52c",
"bestfit_examples/project_data.py": "70fe08eced1172a90de67edc889b8776b78fc86439e6d1a0c3bb2b0f70415873",
"bestfit_examples/raw.py": "d7a9e8899d1bd21c674342003b810fb22ebc90939a2297d131effa0b0e326caa",
"bestfit_examples/results.py": "8007e6da0188af3b223197a11a75cc70b4e40968302ddfbdd232c2408c79aa42",
"bestfit_examples/runtime.py": "006a25d4265250805fd796b7cc399bb2985d2ae31e369f97b2de54225200037a",
"bestfit_examples/snapshot.py": "98c5d7e9d47dc761c7c98e6c40efa378b06a1d9f993832a407e0985bf40a9210",
"curriculum-cases.json": "7374a64dde58600f2874343d667d5f42d42504cbbaee91e98fff87653d925f20",
"data/raw/bivariate-distribution-examples.json.gz": "ea6dbf3f8bd246b6a0d25255995cb5987962b0e7cb858bfe03ba75f229011210",
"data/raw/bulletin-17c-examples.json.gz": "2779996ce3c3a85bf6948929fdcc9ab4cd47b9b38c562da9cfef2e2276df3cee",
"data/raw/chmn-download-example.json.gz": "04f4c1dfb920dbfa87538f6b438a412c68de88a1b455c0db895ee7aea72d5c29",
"data/raw/classic-time-series-examples.json.gz": "f6b545090c0216bedbb03f280109d23469df2a15796f085f1c8507e69092d182",
"data/raw/ghcn-download-example.json.gz": "df47f68b2cd52c8c0d487b5ba9d60c56f13285dc965f22693260aa12113738dc",
"data/raw/ghcn-peaks-over-threshold-example.json.gz": "03de6ad76cdaedc785e85ecd85f03d47345545eb3965bee7d8008f17d550f7ea",
"data/raw/hec-dss-import-example.json.gz": "9ebfeb7ce352ef0a31ba87ca5930206f255d4424057e8aff2cc6c636b298ed48",
"data/raw/manifest.json": "ddbd13bfa5d30d80bb0e40c131043128774b8db36a501504e8b4875e7bae17a8",
"data/raw/manual-entry-example.json.gz": "d2acd152f0065da96599ee31994fd63d41a38b47c339bc03d1d8b51c26774b6c",
"data/raw/mixed-population-examples.json.gz": "b426158d4099a0b82b11239f51244101ba38df2edb8c30bd9ac78e3da66d10cc",
"data/raw/mixture-distribution-examples.json.gz": "6e51ef5bb191d8bb54255fb64a0a5840fddd14e21517d50fce55c44d7c1d0ce0",
"data/raw/nsffa-brays-bayou-texas.json.gz": "d3d862ccecdcb1979775d9770c6ab0648eaef9c377ec234bf60ad995af90e531",
"data/raw/point-process-examples.json.gz": "467d158bcca5bcba61e44f2796a748c8d290127dd08322df2ab6a105e29d792a",
"data/raw/sinnemahoning-move3-bayesian.json.gz": "621402808f755e104084261a9dcbd217d2a5c550dc05fa8cef15e924d02a126a",
"data/raw/sum-two-normals.json.gz": "c9aacd72810c54d894f2aca45d9addb2a033c0cd668936156fde8995d0fc169f",
"data/raw/synthetic-rating-curve-examples.json.gz": "d8ded17c6852dc5b458555f78951b0ce04e459500033b49e56c1a7517b641d7c",
"data/raw/time-series-regression-example.json.gz": "daccf22ed8e5293aea00fb39f688a0106a0dc2978aa7b58c0d55dbd1a00920e3",
"data/raw/usgs-07024175-mississippi-rating-curve.json.gz": "e996cf90e7c448211d21836f1f32664cf6ec60429f936865eb58f592cc6f99d2",
"data/raw/usgs-block-max-example.json.gz": "9f5b6f049f037cbcce68b82a87a75ac493487524494584f94a3836e4aa86fcd4",
"data/raw/usgs-download-example.json.gz": "f5402e904b7e9e6f04396950538922312ac7d5a8bcdec87d8c9e5ffa9800ce22",
"data/raw/usgs-peak-download-example.json.gz": "25194ebdb68ec62a5617032db1770067f8bd29f0f81d14269ad8addcb3f2bf4a",
"data/raw/viglione-et-al-2013.json.gz": "cd17904e3a314bcbb9b898e1b0a5877ac247277c468855889cc424e3c8e92a75",
"data/raw/waimea-river-stage-frequency.json.gz": "4f533714d87bac4fef2287451b2c87aae1c92d6f577119cf59e27841854904d7",
"data/raw-responses/manifest.json": "d84a2c295963d5db1054d84acf3cde47560725c4b8f8806342cfeceb8ef808f3",
"data/raw-responses/sum-two-normals.json": "fb333b473f226b9175c88eb7e18cbdae67ca09c32a5c84f3b2a6c645dcc253d1",
"data/raw-responses/waimea-river-stage-frequency.json": "ece35a443ac0861bd53eae9f6f5ab153ba237b09f50139f108a5174a387320e9",
"dotnet/bestfit.runtimeconfig.json": "a5d7d4652640ece0db0fc99654117c56a675339c590f2d9f74edf0f590d50c5b",
"runtime-lock.json": "9f7baa46a4654d7a931f5c696155487ecb64397e8378dd1ee9724cf39f87091a",
"canonical_plots/__init__.py": "f01d16651bf80781a5d7d26a497c15bc662204f516f0b3114ba15f2bd91bdb08",
"canonical_plots/adapters/__init__.py": "d38139b7214e602dd70a627b533271f9f16a51a701d1ec9af4319c0a8c0f9311",
"canonical_plots/adapters/api_response_models.py": "8c8628f6e679f2dc2c85b8599869cd840e735f8a5e342d4ab50fff8f5a8b3558",
"canonical_plots/adapters/common.py": "110b6fd3c8efe3e5a10ff2e83471d29715e325cb716604053d42ba1be7a193e6",
"canonical_plots/adapters/desktop.py": "aefe18e1c37bbaf549449a2a356e74b1bd397e4d2cd6554f18f0d738d0d0c123",
"canonical_plots/adapters/diagnostics.py": "32dc04547849200b51f32ec80aaedcc19ed037277de198a9fc00d00bf4d2a3eb",
"canonical_plots/adapters/frequency.py": "cce3562065782336e6e5bb3a222537cd9ee27e1835a9683bc1dea4bac6035bbe",
"canonical_plots/adapters/input_data.py": "253b4b297db1634346bbaf36e0f3b62554898b44a8c02bd354915c951642ce6c",
"canonical_plots/adapters/response_models.py": "b11adab25b98d73bdf779bab1bc55ae78d6f049438bc4c6dffeacc278fff5846",
"canonical_plots/legacy_frequency.py": "4b01eb84327b95801c9ff6df54f21c13477cd3a87c0d8286a51251fbc500cf35",
"canonical_plots/render.py": "914a38a7b870eb6e382c200762f4719714623a214216da82a2bdc9df6d702922",
"canonical_plots/source.py": "3393e44780dc2419edd7e9291680a5bf63917da5ed576e594f529760017e6c09",
"canonical_plots/spec.py": "d8215e89832f607c50d33b1af6f8d9c046c8fcfe2331d7c3d79d1f853987d1b3"
},
"notebookWritten": true,
"workspace": "C:\\GIT\\BestFit-Python-Examples\\.runtime\\headless-validation\\eb26c2856316",
"codeCells": 7,
"errorOutputs": 0,
"analyses": [
{
"name": "Simple Linear Regression",
"class": "ARIMAXAnalysis",
"status": "completed",
"runId": "abdf3b69-acdf-4172-a13c-227792d930be",
"seconds": 3.264,
"source": {
"bytes": 5373952,
"relative_path": "examples/7-time-series-analysis/3-time-series-regression-example/time-series-regression-example.bestfit",
"repository_commit": "3fa55a0f75bbd583e2fb7fce42180faa376f007c",
"sha256": "d84276fb50bcb6fc9bde46f361917abedada3398b3b5bacde42dfc01889a6115"
},
"runtime": {
"schemaVersion": 1,
"sourceCommit": "db5807d6e3a85606797cda79542f2d51a80a57a6",
"numericsVersion": "2.2.0.0",
"bestFitVersion": "2.0.0.0",
"targetFramework": ".NETCoreApp,Version=v10.0",
"fileHashes": {
"RMC.BestFit.dll": "8714d7e4e9d738e99e45c36d5581ce759e8fd535361b7a141d9647a9a5eac8dd",
"Numerics.dll": "364d2296a6024643a8bf0f60d1eaa8f5be5511563dea0b5d572074e45c27ea48"
}
},
"analysisSettings": "<ARIMAXAnalysis IsEstimated=\"true\" ForecastingTimeSteps=\"30\">\r\n <BayesianAnalysis Type=\"DEMCzs\" NumberOfChains=\"6\" ThinningInterval=\"30\" WarmupIterations=\"1750\" Iterations=\"3500\" UseSimulationDefaults=\"True\" PRNGSeed=\"12345\" InitialIterations=\"300\" Jump=\"0.97163093130399403\" JumpThreshold=\"0.10000000000000001\" SnookerThreshold=\"0.10000000000000001\" Noise=\"9.9999999999999998E-13\" Scale=\"5.6643999999999997\" Beta=\"0.050000000000000003\" MaxTreeDepth=\"10\" UseAdvancedSimulationDefaults=\"True\" CredibleIntervalWidth=\"0.90000000000000002\" OutputLength=\"10000\" PointEstimator=\"PosteriorMean\" DIC=\"275.5820883790222\" WAIC=\"277.76807227096515\" WAIC_pD=\"4.8733643693653343\" LOOIC=\"277.82333256703464\" LOO_pD=\"4.9009945174000791\" LOOIC_SE=\"25.071848918953094\" IsEstimated=\"True\" ElapsedTime=\"13242360\" />\r\n</ARIMAXAnalysis>",
"modelSettings": "<ARIMAX TransformType=\"None\" TransformLambda=\"0\" TransformLambdaIsManual=\"False\" CovariateExtension=\"BlockBootstrap\" IncludeIntercept=\"True\" IncludeSeasonality=\"False\" TrendType=\"None\" AROrderP=\"0\" DiffOrderD=\"0\" MAOrderQ=\"0\" XOrderB=\"0\" TrainingTimeSteps=\"149\" UseDefaultTrainingSteps=\"True\" UseDefaultFlatPriors=\"True\" UseJeffreysRuleForScale=\"True\">\r\n <Parameters>\r\n <ModelParameter OwnerName=\"\" Name=\"Intercept (μ)\" Value=\"0.5813083228396525\" LowerBound=\"0.01\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"0.01\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Covariate (β₁)\" Value=\"0.32472962688586482\" LowerBound=\"-10\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"-10\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Scale (σ)\" Value=\"0.60454456678144841\" LowerBound=\"1.11022302462516E-16\" UpperBound=\"10\" IsPositive=\"True\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"1.11022302462516E-16\" Max=\"10\" />\r\n </ModelParameter>\r\n </Parameters>\r\n</ARIMAX>",
"metrics": {
"AIC": 275.67065190837195,
"BIC": 284.6824908262083,
"DIC": 275.5820883790222,
"RMSE": 0.5980809945487039
},
"diagnostics": [
{
"parameter": 0,
"Rhat": 1.0002054089159687,
"ESS": 9861.323043774473
},
{
"parameter": 1,
"Rhat": 1.0001806660011034,
"ESS": 9808.098843289867
},
{
"parameter": 2,
"Rhat": 1.0003033759776123,
"ESS": 8862.552937160224
}
],
"parameters": [
{
"name": "Intercept (μ)",
"value": 0.5813083228396525,
"lower": 0.01,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Covariate (β₁)",
"value": 0.3247296268858648,
"lower": -10.0,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Scale (σ)",
"value": 0.6045445667814484,
"lower": 1.11022302462516e-16,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
}
]
},
{
"name": "Multiple Linear Regression",
"class": "ARIMAXAnalysis",
"status": "completed",
"runId": "5e152978-d348-4791-a3c0-a982126095bb",
"seconds": 7.919,
"source": {
"bytes": 5373952,
"relative_path": "examples/7-time-series-analysis/3-time-series-regression-example/time-series-regression-example.bestfit",
"repository_commit": "3fa55a0f75bbd583e2fb7fce42180faa376f007c",
"sha256": "d84276fb50bcb6fc9bde46f361917abedada3398b3b5bacde42dfc01889a6115"
},
"runtime": {
"schemaVersion": 1,
"sourceCommit": "db5807d6e3a85606797cda79542f2d51a80a57a6",
"numericsVersion": "2.2.0.0",
"bestFitVersion": "2.0.0.0",
"targetFramework": ".NETCoreApp,Version=v10.0",
"fileHashes": {
"RMC.BestFit.dll": "8714d7e4e9d738e99e45c36d5581ce759e8fd535361b7a141d9647a9a5eac8dd",
"Numerics.dll": "364d2296a6024643a8bf0f60d1eaa8f5be5511563dea0b5d572074e45c27ea48"
}
},
"analysisSettings": "<ARIMAXAnalysis IsEstimated=\"true\" ForecastingTimeSteps=\"30\">\r\n <BayesianAnalysis Type=\"DEMCzs\" NumberOfChains=\"12\" ThinningInterval=\"60\" WarmupIterations=\"1750\" Iterations=\"3500\" UseSimulationDefaults=\"True\" PRNGSeed=\"12345\" InitialIterations=\"600\" Jump=\"0.68704682033565467\" JumpThreshold=\"0.10000000000000001\" SnookerThreshold=\"0.10000000000000001\" Noise=\"9.9999999999999998E-13\" Scale=\"5.6643999999999997\" Beta=\"0.050000000000000003\" MaxTreeDepth=\"10\" UseAdvancedSimulationDefaults=\"True\" CredibleIntervalWidth=\"0.90000000000000002\" OutputLength=\"10000\" PointEstimator=\"PosteriorMean\" DIC=\"114.44713895442067\" WAIC=\"120.50088625124599\" WAIC_pD=\"10.885274055012484\" LOOIC=\"120.8681403833031\" LOO_pD=\"11.068901121041037\" LOOIC_SE=\"23.976195894828404\" IsEstimated=\"True\" ElapsedTime=\"43757343\" />\r\n</ARIMAXAnalysis>",
"modelSettings": "<ARIMAX TransformType=\"None\" TransformLambda=\"0\" TransformLambdaIsManual=\"False\" CovariateExtension=\"BlockBootstrap\" IncludeIntercept=\"True\" IncludeSeasonality=\"False\" TrendType=\"None\" AROrderP=\"0\" DiffOrderD=\"0\" MAOrderQ=\"0\" XOrderB=\"0\" TrainingTimeSteps=\"149\" UseDefaultTrainingSteps=\"True\" UseDefaultFlatPriors=\"True\" UseJeffreysRuleForScale=\"True\">\r\n <Parameters>\r\n <ModelParameter OwnerName=\"\" Name=\"Intercept (μ)\" Value=\"0.30508884674486503\" LowerBound=\"0.01\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"0.01\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Covariate (β₁)\" Value=\"0.7035505005389121\" LowerBound=\"-10\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"-10\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Covariate (β₂)\" Value=\"0.036723281979267108\" LowerBound=\"-10\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"-10\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Covariate (β₃)\" Value=\"-0.047047069259020462\" LowerBound=\"-10\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"-10\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Covariate (β₄)\" Value=\"-0.27417810452987401\" LowerBound=\"-10\" UpperBound=\"10\" IsPositive=\"False\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"-10\" Max=\"10\" />\r\n </ModelParameter>\r\n <ModelParameter OwnerName=\"\" Name=\"Scale (σ)\" Value=\"0.34893783662838807\" LowerBound=\"1.11022302462516E-16\" UpperBound=\"10\" IsPositive=\"True\" IsFixed=\"False\">\r\n <Distribution Type=\"Uniform\" Min=\"1.11022302462516E-16\" Max=\"10\" />\r\n </ModelParameter>\r\n </Parameters>\r\n</ARIMAX>",
"metrics": {
"AIC": 114.50028307839905,
"BIC": 132.5239609140718,
"DIC": 114.44713895442067,
"RMSE": 0.34114682964545423
},
"diagnostics": [
{
"parameter": 0,
"Rhat": 1.0000272771918262,
"ESS": 9733.598249333514
},
{
"parameter": 1,
"Rhat": 0.9999807995613007,
"ESS": 9703.286511372527
},
{
"parameter": 2,
"Rhat": 1.0001213400101785,
"ESS": 9624.566864962684
},
{
"parameter": 3,
"Rhat": 0.999976105649748,
"ESS": 9936.412437920364
},
{
"parameter": 4,
"Rhat": 1.0001092531276796,
"ESS": 9852.307925999303
},
{
"parameter": 5,
"Rhat": 1.000005032430053,
"ESS": 9901.605697308747
}
],
"parameters": [
{
"name": "Intercept (μ)",
"value": 0.305088846744865,
"lower": 0.01,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Covariate (β₁)",
"value": 0.7035505005389121,
"lower": -10.0,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Covariate (β₂)",
"value": 0.03672328197926711,
"lower": -10.0,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Covariate (β₃)",
"value": -0.04704706925902046,
"lower": -10.0,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Covariate (β₄)",
"value": -0.274178104529874,
"lower": -10.0,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
},
{
"name": "Scale (σ)",
"value": 0.34893783662838807,
"lower": 1.11022302462516e-16,
"upper": 10.0,
"prior": "Numerics.Distributions.Uniform",
"fixed": false
}
]
}
],
"artifactAudit": {
"status": "passed",
"expectedPrimaryCases": 2,
"completedAnalysesIncludingDependencies": 2,
"figureLineage": [
{
"file": "000-time_series_analysis.series.png",
"plotId": "time_series_analysis.series",
"source": {
"kind": "rerun",
"id": "Simple Linear Regression",
"runId": "abdf3b69-acdf-4172-a13c-227792d930be"
},
"specSha256": "399afbe9975049766f14a69a5a5bf3e3bb9d2302abe366c81e6cc271c3c53c7f",
"pngSha256": "9aa14621d71831dadc3dd0def5f7d5c2d8a50e62ade8fd5e68945105dd4cb146"
},
{
"file": "001-time_series_analysis.series.png",
"plotId": "time_series_analysis.series",
"source": {
"kind": "rerun",
"id": "Multiple Linear Regression",
"runId": "5e152978-d348-4791-a3c0-a982126095bb"
},
"specSha256": "b0f30e463436ff0b573388cb98d43d882a7b07df13396cfe1a1981df1201056e",
"pngSha256": "616f65bc2d50d9a6d226382d3bfbfe98184f769c28b2b2926f936d0339ca681a"
},
{
"file": "002-time_series_analysis.residuals.png",
"plotId": "time_series_analysis.residuals",
"source": {
"kind": "rerun",
"id": "Multiple Linear Regression",
"runId": "5e152978-d348-4791-a3c0-a982126095bb"
},
"specSha256": "9a98ee5a4abef5831e4cbebf15efb1311f662d435607f21e0ae2e4d20befb881",
"pngSha256": "f38b08ab1536d3e7ea8018dde681e136a343287ac7e1edc479a354f4f6d8ad11"
},
{
"file": "003-time_series_analysis.residual_pacf.png",
"plotId": "time_series_analysis.residual_pacf",
"source": {
"kind": "rerun",
"id": "Multiple Linear Regression",
"runId": "5e152978-d348-4791-a3c0-a982126095bb"
},
"specSha256": "a37b1d08cd4725f80238df8977edb63c522cbd96b7a96cb9850012319a1d5ce1",
"pngSha256": "69e4ea1d05c816cac635c4454b186ec4d9e8ff19be029e25aeeecb8259b8edd0"
}
]
},
"notebookOutputAudit": {
"status": "passed",
"executedCodeCells": 7,
"embeddedPngs": 4,
"outputsSha256": "b55e5bdffa2472f701e602b1aacf748a36ef85c6eb28f5d2d0bf358e80a9c196"
},
"figures": 4,
"elapsedSeconds": 17.922
}