Merge pull request #45 from Hestia-Homes/model-test

add 1000 second model
This commit is contained in:
quandanrepo 2023-09-29 14:17:16 +01:00 committed by GitHub
commit f69f42266f
No known key found for this signature in database
GPG key ID: 4AEE18F83AFDEB23
2 changed files with 24 additions and 24 deletions

View file

@ -13,6 +13,6 @@ default:
output_filepath: ./data/model/autogluonmodel/
problem_type: regression
eval_metric: mean_absolute_error
time_limit: 75
time_limit: 1000
presets: medium_quality
excluded_model_types: ['KNN']

View file

@ -30,8 +30,8 @@ stages:
outs:
- path: data/prepared_data/
hash: md5
md5: ed19a11a85d6a2006631173f51569d27.dir
size: 21131576
md5: f9ef7ad073b43b249b43faa75c62fe07.dir
size: 21115444
nfiles: 2
build_model:
cmd: python 2_build_model.py
@ -42,8 +42,8 @@ stages:
size: 5181
- path: data/prepared_data
hash: md5
md5: ed19a11a85d6a2006631173f51569d27.dir
size: 21131576
md5: f9ef7ad073b43b249b43faa75c62fe07.dir
size: 21115444
nfiles: 2
params:
configs/build_model.yaml:
@ -59,20 +59,20 @@ stages:
output_filepath: ./data/model/autogluonmodel/
problem_type: regression
eval_metric: mean_absolute_error
time_limit: 75
time_limit: 1000
presets: medium_quality
excluded_model_types:
- KNN
outs:
- path: data/model/
hash: md5
md5: 60e253c42cc36934098c627ef3ef4cc1.dir
size: 185134993
nfiles: 14
md5: d073af40ba5c7c2d9b8064665062f51e.dir
size: 363710367
nfiles: 20
- path: metrics/fit_metrics.json
hash: md5
md5: a0c2a1c9e5da0b857d510fa1ba6282a8
size: 186
md5: dcd9ea03a2771077e1bd14018bb7fd18
size: 183
generate_predictions:
cmd: python 3_generate_predictions.py
deps:
@ -82,13 +82,13 @@ stages:
size: 4720
- path: data/model
hash: md5
md5: 60e253c42cc36934098c627ef3ef4cc1.dir
size: 185134993
nfiles: 14
md5: d073af40ba5c7c2d9b8064665062f51e.dir
size: 363710367
nfiles: 20
- path: data/prepared_data
hash: md5
md5: ed19a11a85d6a2006631173f51569d27.dir
size: 21131576
md5: f9ef7ad073b43b249b43faa75c62fe07.dir
size: 21115444
nfiles: 2
params:
configs/settings.yaml:
@ -100,8 +100,8 @@ stages:
outs:
- path: data/predictions/
hash: md5
md5: 700c8767de3a86c4c5339daf3cc17192.dir
size: 380962
md5: a2ecfae1e418fe9cb9fe044c148bbb37.dir
size: 381538
nfiles: 1
generate_metrics:
cmd: python 4_generate_metrics.py
@ -112,13 +112,13 @@ stages:
size: 4487
- path: data/predictions
hash: md5
md5: 700c8767de3a86c4c5339daf3cc17192.dir
size: 380962
md5: a2ecfae1e418fe9cb9fe044c148bbb37.dir
size: 381538
nfiles: 1
- path: data/prepared_data
hash: md5
md5: ed19a11a85d6a2006631173f51569d27.dir
size: 21131576
md5: f9ef7ad073b43b249b43faa75c62fe07.dir
size: 21115444
nfiles: 2
params:
configs/settings.yaml:
@ -128,8 +128,8 @@ stages:
outs:
- path: metrics/metrics.json
hash: md5
md5: 45ffac8f6e7283df4b69af8a9abc45e1
size: 184
md5: ec02774fd01243fa4706189c60087ccf
size: 182
startup_cleanup:
cmd: python 0_startup_cleanup.py
deps: