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data_csv_path: ./raw_data/anton.csv | |
drop: null | |
ds_name: livia_mini | |
index_col: -1 | |
observation_interval: 5min | |
column_definition: | |
- data_type: categorical | |
input_type: id | |
name: id | |
- data_type: date | |
input_type: time | |
name: time | |
- data_type: real_valued | |
input_type: target | |
name: gl | |
encoding_params: | |
date: | |
- day | |
- month | |
- year | |
- hour | |
- minute | |
- second | |
# NA values abbreviation | |
nan_vals: null | |
# Interpolation parameters | |
interpolation_params: | |
gap_threshold: 45 # in minutes | |
min_drop_length: 240 # in number of points (20 hrs) | |
scaling_params: | |
scaler: None | |
split_params: | |
length_segment: 13 | |
random_state: 0 | |
test_percent_subjects: 0.1 | |
# Splitting parameters | |
#split_params: | |
# test_percent_subjects: .1 | |
# length_segment: 240 | |
# random_state: 0 | |
# Model params | |
max_length_input: 192 | |
length_pred: 12 | |
transformer: | |
batch_size: 32 | |
d_model: 96 | |
dim_feedforward: 448 | |
dropout: 0.10161152207464333 | |
in_len: 96 | |
lr: 0.000840888489686657 | |
lr_epochs: 16 | |
max_grad_norm: 0.6740479322943925 | |
max_samples_per_ts: 50 | |
n_heads: 4 | |
num_decoder_layers: 1 | |
num_encoder_layers: 4 | |
transformer_covariates: | |
batch_size: 32 | |
d_model: 128 | |
dim_feedforward: 160 | |
dropout: 0.044926981080245884 | |
in_len: 108 | |
lr: 0.00029632347559614453 | |
lr_epochs: 20 | |
max_grad_norm: 0.8890169619043728 | |
max_samples_per_ts: 50 | |
n_heads: 2 | |
num_decoder_layers: 2 | |
num_encoder_layers: 2 | |