| 12345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758 |
- # SPDX-License-Identifier: Apache-2.0
- _target_: data.datasets.create_datasets
- config:
- graph: False
- source_path: /workspace/datasets/electricity/electricity.csv
- dest_path: /workspace/datasets/electricity/
- train_range:
- - 0
- - 31560
- valid_range:
- - 31392
- - 32136
- test_range:
- - 31968
- - 35000
- dataset_stride: 1
- scale_per_id: True
- encoder_length: 168
- input_length: 168
- example_length: 192
- MultiID: False
- features:
- - name: 'categorical_id'
- feature_type: 'ID'
- feature_embed_type: 'CATEGORICAL'
- cardinality: 371
- - name: 'hours_from_start'
- feature_type: 'TIME'
- feature_embed_type: 'CONTINUOUS'
- - name: 'power_usage_weight'
- feature_type: 'WEIGHT'
- feature_embed_type: 'CONTINUOUS'
- - name: 'power_usage'
- feature_type: 'TARGET'
- feature_embed_type: 'CONTINUOUS'
- scaler:
- _target_: sklearn.preprocessing.StandardScaler
- - name: 'hour'
- feature_type: 'KNOWN'
- feature_embed_type: 'CATEGORICAL'
- cardinality: 25
- - name: 'day_of_week'
- feature_type: 'KNOWN'
- feature_embed_type: 'CATEGORICAL'
- cardinality: 8
- - name: 'hours_from_start'
- feature_type: 'KNOWN'
- feature_embed_type: 'CONTINUOUS'
- scaler:
- _target_: sklearn.preprocessing.StandardScaler
- - name: 'categorical_id'
- feature_type: 'STATIC'
- feature_embed_type: 'CATEGORICAL'
- cardinality: 371
- train_samples: 450000
- valid_samples: 50000
- binarized: True
- time_series_count: 369
|
