config

[zhujiem]

base_config: ../config/
base_expid: MLPX_base
dataset_id: avazu_x1

dataset_config:
avazu_x1:
data_root: ../data/Avazu/
data_format: csv
train_data: ../data/Avazu/Avazu_x1/train.csv
valid_data: ../data/Avazu/Avazu_x1/valid.csv
test_data: ../data/Avazu/Avazu_x1/test.csv
min_categr_count: 1
feature_cols:
- {name: ["feat_1", "feat_2", "feat_3", "feat_4", "feat_5", "feat_6", "feat_7", "feat_8", "feat_9", "feat_10",
"feat_11", "feat_12", "feat_13", "feat_14", "feat_15", "feat_16", "feat_17", "feat_18", "feat_19",
"feat_20", "feat_21", "feat_22"],
active: True, dtype: float, type: categorical}
label_col: {name: label, dtype: float}

tuner_space:
model_root: './Avazu/MLPX_avazu_x1/'
embedding_dim: 10
embedding_regularizer: 5.e-2
dnn1_batch_norm: True
dnn2_batch_norm: True
dnn1_hidden_units: [[400, 400, 400]]
dnn2_hidden_units: [[800]]
dnn1_dropout: [0.4, 0.3]
dnn2_dropout: [0.2, 0.3]
use_feature_selection: True
selection_hidden_units: [[1000]]
bilinear_group: [1, 2, 5, 10, 20, 50]
learning_rate: 1.e-3
batch_size: 4096
seed: 2021
monitor: 'AUC'
monitor_mode: 'max'
metrics: [['AUC', 'logloss']]
verbose: 0

[zhujiem]

base_config: ../config/
base_expid: MLPX_base
dataset_id: frappe_x1

dataset_config:
frappe_x1:
data_root: ../data/Frappe/
data_format: csv
train_data: ../data/Frappe/Frappe_x1/train.csv
valid_data: ../data/Frappe/Frappe_x1/valid.csv
test_data: ../data/Frappe/Frappe_x1/test.csv
min_categr_count: 1
feature_cols:
- {name: "user", active: True, dtype: float, type: categorical, source: user}
- {name: [ "daytime", "weekday", "isweekend", "weather", "homework", "country", "city", "cost", "item"], active: True, dtype: float, type: categorical}
label_col: {name: label, dtype: float}

tuner_space:
model_root: './Frappe/MLPX_frappe_x1/'
embedding_dim: 10
embedding_regularizer: 5.e-2
dnn1_batch_norm: True
dnn2_batch_norm: True
dnn1_hidden_units: [[400]]
dnn2_hidden_units: [[100], [150]]
dnn1_dropout: [0.4, 0.5]
dnn2_dropout: [0.4, 0.5]
use_feature_selection: True
selection_hidden_units: [[800], [1000]]
bilinear_group: 1
learning_rate: 1.e-3
batch_size: 4096
seed: 2021
monitor: 'AUC'
monitor_mode: 'max'
metrics: [['AUC', 'logloss']]

[zhujiem]

base_config: ../config/
base_expid: MLPX_base
dataset_id: movielenslatest_x1

dataset_config:
movielenslatest_x1:
data_root: ../data/Movielens/
data_format: csv
train_data: ../data/Movielens/MovielensLatest_x1/train.csv
valid_data: ../data/Movielens/MovielensLatest_x1/valid.csv
test_data: ../data/Movielens/MovielensLatest_x1/test.csv
min_categr_count: 1
feature_cols:
- {name: "user_id", active: True, dtype: float, type: categorical}
- {name: ["item_id", "tag_id"], active: True, dtype: float, type: categorical}
label_col: {name: label, dtype: float}

tuner_space:
model_root: './Movielens/MLPX_movielenslatest_x1/'
embedding_dim: 10
embedding_regularizer: 1.e-2
dnn1_batch_norm: True
dnn2_batch_norm: True
dnn1_hidden_units: [[400]]
dnn2_hidden_units: [[800]]
dnn1_dropout: [0.4, 0.5]
dnn2_dropout: [0.2, 0.3]
use_feature_selection: True
selection_hidden_units: [[800], [1000], [500]]
bilinear_group: 10
learning_rate: 1.e-3
batch_size: 4096
seed: 2021
monitor: 'AUC'
monitor_mode: 'max'
metrics: [['AUC', 'logloss']]