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hyperparams.py
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hyperparams.py
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# which GPU
DEFAULT_GPU = "cuda:1"
# model variations and the model class it belongs to
modelType = {"list_cvae_with_prior": "list_cvae_with_prior", \
"slate_cvae": "slate_cvae", \
"slate_cvae_offset":"slate_cvae", \
"slate_cvae_pre": "slate_cvae"}
# default settings
DEFAULT_PARAMS = {
"doc_emb_size": 8,
"gpu": True,
"resp_model": {
"doc_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 50,
"batch_size": 64,
"mlp_struct": [40, 1024, 5]
},
"user_resp_model": {
"doc_emb_size": 8,
"user_emb_size": 8,
"gpu": True,
"lr": 0.03,
"weight_decay": 0.0001,
"epoch_limit": 30,
"batch_size": 64,
"mlp_struct": [48, 256, 256, 5]
},
"mf_model": {
"doc_emb_size": 8,
"user_emb_size": 8,
"gpu": True,
"lr": 0.0003,
"weight_decay": 0.0001,
"epoch_limit": 30,
"batch_size": 256
},
"user_pointwise_resp_model": {
"doc_emb_size": 8,
"user_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 30,
"batch_size": 64,
"interaction_mlp_struct": [48, 512, 8],
"mlp_struct": [24, 512, 1]
},
"list_cvae": {
"doc_emb_size": 8,
"user_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 40,
"batch_size": 64,
"latent_size": 16,
"slate_size": 5,
"condition_size": 6,
"encoder_struct": [46, 128],
"decoder_struct": [22, 128, 40],
"cond_struct": [5, 6],
"beta": 0.0003
},
"list_ae": {
"doc_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 100,
"batch_size": 64,
"latent_size": 16,
"slate_size": 5,
"encoder_struct": [40, 1024, 16],
"decoder_struct": [16, 1024, 40]
},
"list_vae": {
"doc_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 40,
"batch_size": 64,
"latent_size": 16,
"slate_size": 5,
"encoder_struct": [40, 1024, 16],
"decoder_struct": [16, 1024, 40],
"beta": 0.000001
},
"list_cvae_with_prior": {
"doc_emb_size": 8,
"user_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 20,
"batch_size": 64,
"latent_size": 16,
"slate_size": 5,
"condition_size": 6,
# "encoder_struct": [46, 128, 128, 128],
# "decoder_struct": [22, 128, 128, 128, 40],
# "cond_struct": [5, 6],
# "prior_struct": [6, 128, 128],
"encoder_struct": [46, 256, 64],
"decoder_struct": [22, 256, 256, 40],
"cond_struct": [5, 6],
"prior_struct": [6, 256],
"beta": 0.002
},
"slate_cvae": {
"doc_emb_size": 8,
"user_emb_size": 8,
"gpu": True,
"lr": 0.001,
"weight_decay": 0.0001,
"epoch_limit": 20,
"batch_size": 64,
"latent_size": 16,
"slate_size": 5,
"condition_size": 6,
"encoder_struct": [46, 256, 64],
"psm_struct": [22, 256, 256, 8],
"scm_struct": [30, 256, 256, 32],
"cond_struct": [5, 6],
"prior_struct": [6, 256],
# "encoder_struct": [46, 128, 128],
# "psm_struct": [22, 128, 128, 8],
# "scm_struct": [30, 128, 128, 32],
# "cond_struct": [5, 6],
# "prior_struct": [6, 128],
"beta": 0.1
},
"urm": {
"latent_size": 8,
"slate_size": 5,
"gpu": False,
"device": "cuda:1"
},
"urm_p": {
"latent_size": 8,
"slate_size": 5,
"p_bias_factor": 1.0,
"p_bias_max": 0.3,
"p_bias_min": -0.2,
"gpu": False,
"device": "cuda:1"
},
"urm_p_br": {
"latent_size": 8,
"slate_size": 5,
"p_bias_factor": 1.0,
"p_bias_max": 0.3,
"p_bias_min": -0.2,
"br_bias_factor": 1.0,
"gpu": False,
"device": "cuda:1"
},
"urm_p_mr": {
"latent_size": 8,
"slate_size": 5,
"p_bias_factor": 1.0,
"p_bias_max": 0.3,
"p_bias_min": -0.2,
"mr_bias_factor": 0.2,
"gpu": False,
"device": "cuda:1"
},
"urm_p_mr_bigrho": {
"latent_size": 8,
"slate_size": 5,
"p_bias_factor": 1.0,
"p_bias_max": 0.3,
"p_bias_min": -0.2,
"mr_bias_factor": 5.0,
"gpu": False,
"device": "cuda:1"
}
}