Commit b2bcee78 authored by 赵威's avatar 赵威

get auc

parent 3f5db70e
...@@ -61,21 +61,19 @@ def main(): ...@@ -61,21 +61,19 @@ def main():
estimator_config = tf.estimator.RunConfig(session_config=session_config) estimator_config = tf.estimator.RunConfig(session_config=session_config)
model = tf.estimator.Estimator(model_fn=esmm_model_fn, params=params, model_dir=model_path, config=estimator_config) model = tf.estimator.Estimator(model_fn=esmm_model_fn, params=params, model_dir=model_path, config=estimator_config)
# TODO 50000 train_spec = tf.estimator.TrainSpec(input_fn=lambda: esmm_input_fn(train_df, shuffle=True), max_steps=50000)
train_spec = tf.estimator.TrainSpec(input_fn=lambda: esmm_input_fn(train_df, shuffle=True), max_steps=20000)
eval_spec = tf.estimator.EvalSpec(input_fn=lambda: esmm_input_fn(val_df, shuffle=False)) eval_spec = tf.estimator.EvalSpec(input_fn=lambda: esmm_input_fn(val_df, shuffle=False))
res = tf.estimator.train_and_evaluate(model, train_spec, eval_spec) res = tf.estimator.train_and_evaluate(model, train_spec, eval_spec)
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@") print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
print(res)
print(res[0]) print(res[0])
print(res[0]["ctr_auc"]) print("ctr_auc: " + str(res[0]["ctr_auc"]))
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@") print("ctcvr_auc: " + str(res[0]["ctcvr_auc"]))
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
model_export_path = str(Path("~/data/models/diary").expanduser()) model_export_path = str(Path("~/data/models/diary").expanduser())
save_path = model_export(model, all_features, model_export_path) save_path = model_export(model, all_features, model_export_path)
print("save to: " + save_path) print("save to: " + save_path)
# TODO save model set_essm_model_save_path("diary", save_path)
# set_essm_model_save_path("diary", save_path)
print("============================================================") print("============================================================")
# save_path = str(Path("~/Desktop/models/1596012827").expanduser()) # local # save_path = str(Path("~/Desktop/models/1596012827").expanduser()) # local
......
...@@ -60,7 +60,12 @@ def main(): ...@@ -60,7 +60,12 @@ def main():
model = tf.estimator.Estimator(model_fn=esmm_model_fn, params=params, model_dir=model_path, config=estimator_config) model = tf.estimator.Estimator(model_fn=esmm_model_fn, params=params, model_dir=model_path, config=estimator_config)
train_spec = tf.estimator.TrainSpec(input_fn=lambda: esmm_input_fn(train_df, shuffle=True), max_steps=50000) train_spec = tf.estimator.TrainSpec(input_fn=lambda: esmm_input_fn(train_df, shuffle=True), max_steps=50000)
eval_spec = tf.estimator.EvalSpec(input_fn=lambda: esmm_input_fn(val_df, shuffle=False)) eval_spec = tf.estimator.EvalSpec(input_fn=lambda: esmm_input_fn(val_df, shuffle=False))
tf.estimator.train_and_evaluate(model, train_spec, eval_spec) res = tf.estimator.train_and_evaluate(model, train_spec, eval_spec)
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
print(res[0])
print("ctr_auc: " + str(res[0]["ctr_auc"]))
print("ctcvr_auc: " + str(res[0]["ctcvr_auc"]))
print("@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@")
model_export_path = str(Path("~/data/models/tractate/").expanduser()) model_export_path = str(Path("~/data/models/tractate/").expanduser())
save_path = model_export(model, all_features, model_export_path) save_path = model_export(model, all_features, model_export_path)
......
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