defaults:
- analyze_latent_schema
batch_size: 10
reducer:
_target_: sklearn.manifold.TSNE
model:
categorical_weights: ${weights:${data.categorical_inputs}}
continuous_weights: ${weights:${data.continuous_inputs}}
num_hidden:
- 1000
num_latent: 150
beta: 0.0001
dropout: 0.1
cuda: false
training_loop:
lr: 1e-4
num_epochs: 40
batch_dilation_steps:
- 50
- 100
- 150
kld_warmup_steps:
- 15
- 20
- 25
early_stopping: false
patience: 0