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dvc.lock
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schema: '2.0'
stages:
clean:
cmd: python3 src/clean.py assets/data/raw/
deps:
- path: assets/data/raw
md5: c7fb956a1dc7de3204e47062f626495d.dir
size: 105623254
nfiles: 23
- path: src/clean.py
md5: a737396362bfcce69e26e049f2d25bb5
size: 9037
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
params:
params.yaml:
clean.classification: true
clean.combine_files: false
clean.correlation_metric: pearson
clean.input_max_correlation_threshold: 1.0
clean.onehot_encode_target: true
clean.percentage_zeros_threshold: 1.0
clean.target: Class
outs:
- path: assets/data/cleaned
md5: 1245af94d62664933a0ef190e41bde6e.dir
size: 86583871
nfiles: 18
- path: assets/features/output_columns.csv
md5: b520619408d9f0152dc8db27de23005d
size: 83
- path: assets/features/removable_features.csv
md5: a227d42afbcc590b4e949075cde4a5b6
size: 3
featurize:
cmd: python3 src/featurize.py assets/data/cleaned/
deps:
- path: assets/data/cleaned
md5: 1245af94d62664933a0ef190e41bde6e.dir
size: 86583871
nfiles: 18
- path: assets/features/output_columns.csv
md5: b520619408d9f0152dc8db27de23005d
size: 83
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/featurize.py
md5: 4882253db3a087a56d2042357d4d1904
size: 15240
params:
params.yaml:
clean.target: Class
featurize.add_gradient:
featurize.add_maximum:
featurize.add_mean:
featurize.add_min_max_range:
featurize.add_minimum:
featurize.add_peak_frequency:
featurize.add_slope:
featurize.add_slope_cos:
featurize.add_slope_sin:
featurize.add_standard_deviation:
featurize.add_sum:
featurize.add_variance:
featurize.remove_features:
- Timestamp
featurize.rolling_window_size_max_min: 60
featurize.rolling_window_size_mean: 60
featurize.rolling_window_size_standard_deviation: 60
featurize.rolling_window_size_sum: 60
featurize.target_min_correlation_threshold: 0.0
featurize.use_all_engineered_features_on_all_variables: false
featurize.variables_to_include:
- Trunk_AccX
- Trunk_AccY
- Trunk_AccZ
- Arm_AccX
- Arm_AccY
- Arm_AccZ
- Hip_AccX
- Hip_AccY
- Hip_AccZ
- Thigh_AccX
- Thigh_AccY
- Thigh_AccZ
- Calf_AccX
- Calf_AccY
- Calf_AccZ
outs:
- path: assets/data/featurized
md5: fe2f3fab75eeec0b29252c3468ba27df.dir
size: 86107312
nfiles: 18
- path: assets/features/input_columns.csv
md5: 1da46db0e51780fffc9e0f9cc14af15c
size: 188
split:
cmd: python3 src/split.py assets/data/featurized/
deps:
- path: assets/data/featurized
md5: fe2f3fab75eeec0b29252c3468ba27df.dir
size: 86107312
nfiles: 18
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/split.py
md5: 203afb0c4cf0053647bb2cc23ae69184
size: 3854
params:
params.yaml:
split.calibrate_split: 0.0
split.shuffle_files: false
split.train_split: 0.7
outs:
- path: assets/data/split
md5: 5d6c5e4fa002e57a7564e0c62d2f5e7c.dir
size: 86107312
nfiles: 18
scale:
cmd: python3 src/scale.py assets/data/split/
deps:
- path: assets/data/split
md5: 5d6c5e4fa002e57a7564e0c62d2f5e7c.dir
size: 86107312
nfiles: 18
- path: assets/features/output_columns.csv
md5: b520619408d9f0152dc8db27de23005d
size: 83
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/scale.py
md5: 8788bb2eeb9174fba4788cf28d25fbb7
size: 4390
params:
params.yaml:
clean.classification: true
scale.input: minmax
scale.output:
outs:
- path: assets/data/scaled
md5: 22f7560930efd40daffd9070c2e0d2ac.dir
size: 86113828
nfiles: 18
- path: assets/scalers/input_scaler.z
md5: 4444465a11301f51d57c2f4e60c4fd30
size: 1055
- path: assets/scalers/output_scaler.z
md5: 5df13af145fef5e43a40610abfae8127
size: 123
sequentialize:
cmd: python3 src/sequentialize.py assets/data/scaled/
deps:
- path: assets/data/scaled
md5: 22f7560930efd40daffd9070c2e0d2ac.dir
size: 86113828
nfiles: 18
- path: assets/features/output_columns.csv
md5: b520619408d9f0152dc8db27de23005d
size: 83
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/preprocess_utils.py
md5: 4a9834004d93717eaa2f26dc56b72fcd
size: 11451
- path: src/sequentialize.py
md5: 9df6a7e4755d15577a4d6df13f3cd475
size: 2586
params:
params.yaml:
clean.classification: true
sequentialize.future_predict: false
sequentialize.overlap: 0
sequentialize.shuffle_samples: false
sequentialize.target_size: 1
sequentialize.window_size: 15
train.learning_method: cnn
outs:
- path: assets/data/sequentialized
md5: b1ff047428b6d423fbf92b8c49a587f9.dir
size: 58158164
nfiles: 18
combine:
cmd: python3 src/combine.py assets/data/sequentialized/
deps:
- path: assets/data/sequentialized
md5: b1ff047428b6d423fbf92b8c49a587f9.dir
size: 58158164
nfiles: 18
- path: src/combine.py
md5: 422a06cdd5ddd6eea8da662fa234826b
size: 1886
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
outs:
- path: assets/data/combined
md5: 3631ba11abffd64ec98c2b281f031555.dir
size: 58150324
nfiles: 2
profile:
cmd: python3 src/profiling.py assets/data/raw/
deps:
- path: assets/data/raw
md5: c7fb956a1dc7de3204e47062f626495d.dir
size: 105623254
nfiles: 23
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/profile.yaml
md5: 317b4d9674ca46acc17a1e8da4fa604e
size: 3918
- path: src/profiling.py
md5: 7ea3e7f24eb3dcde9a477f51b5d2cf08
size: 1985
params:
params.yaml:
profile.dataset: digitalworker_reduced_classes
train:
cmd: python3 src/train.py assets/data/combined/train.npz
deps:
- path: assets/data/combined
md5: 3631ba11abffd64ec98c2b281f031555.dir
size: 58150324
nfiles: 2
- path: assets/features/output_columns.csv
md5: b520619408d9f0152dc8db27de23005d
size: 83
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/neural_networks.py
md5: 5e7599b35cf2069c862cc290ea563a6c
size: 34210
- path: src/train.py
md5: d7f6de3076a07cc420931892159b263f
size: 16722
params:
params.yaml:
clean.classification: true
train.activation_function: relu
train.batch_size: 256
train.dropout: 0.3
train.early_stopping: false
train.hyperparameter_tuning: false
train.kernel_size: 3
train.learning_method: cnn
train.maxpooling: false
train.maxpooling_size: 4
train.n_epochs: 200
train.n_flattened_layers: 2
train.n_flattened_nodes: 32
train.n_layers: 4
train.n_neurons:
- 64
- 64
- 64
- 64
train.patience: 20
train.seed: 2020
train.unit_type: LSTM
outs:
- path: assets/models
md5: 4f8940c9d06842232e3d6ef33f1dfd1a.dir
size: 936200
nfiles: 1
evaluate:
cmd: python3 src/evaluate.py assets/models/model.h5 assets/data/combined/train.npz
assets/data/combined/test.npz assets/data/combined/calibrate.npz
deps:
- path: assets/data/combined/test.npz
md5: 0ab39de402a6c2d71a66bd6f5cfcb704
size: 18297514
- path: assets/features/output_columns.csv
md5: b520619408d9f0152dc8db27de23005d
size: 83
- path: assets/models/model.h5
md5: b82ad3c32704386f33d11f52162e80b0
size: 936200
- path: src/config.py
md5: 7b988b2b39fb5979b5a7f703e708a435
size: 3667
- path: src/evaluate.py
md5: aa48c734220d31935d1f354c63bbb92b
size: 27921
params:
params.yaml:
clean.classification: true
evaluate.dropout_uncertainty_estimation: true
evaluate.show_inputs: true
evaluate.uncertainty_estimation_sampling_size: 100