# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0

# This is a boilerplate parameters config generated for pipeline 'ncad'
# using Kedro 0.18.1.
#
# Documentation for this file format can be found in "Parameters"
# Link: https://kedro.readthedocs.io/en/0.18.1/kedro_project_setup/configuration.html#parameters

model_dir: 'data/07_model_output/iot/ncad/'
log_dir: 'data/07_model_output/iot/ncad/logs/'
evaluation_result_path: 'data/07_model_output/iot/ncad/evaluation'

## General
exp_name: 'batadal-ncad'
## For trainer
epochs: 3 
limit_val_batches: 1.0 
num_sanity_val_steps: 1 
## For injection
injection_method: 'local_outliers' 
ratio_injected_spikes: 0.1 
## For DataLoader
window_length: 500 
suspect_window_length: 10 
num_series_in_train_batch: 1 
num_crops_per_series: 32 
num_workers_loader: 0 
## For model definition
# hpars for encoder
tcn_kernel_size: 7 
tcn_layers: 1
tcn_out_channels: 16 
tcn_maxpool_out_channels: 32 
embedding_rep_dim: 64 
normalize_embedding: True 
# hpars for classifier
distance: 'cosine' 
classifier_threshold: 0.5 
threshold_grid_length_val: 0.10 
threshold_grid_length_test: 0.05 
# hpars for anomalizers
coe_rate: 0.5 
mixup_rate: 2.0 
# hpars for optimizer
learning_rate: 0.0001
# hpars for validation and test
check_val_every_n_epoch: 25 
stride_roll_pred_val_test: 5 
val_labels_adj: True 
test_labels_adj: True 
max_windows_unfold_batch: 5000