我试图使用训练有素的估计器对一些测试数据进行预测,但我的预测结果不好,您能检查一下我的代码吗?许多 THX!
这是下面的代码:
//create the estimator
model = tf.estimator.LinearClassifier(
n_classes = 2,
model_dir = "ongoing",
feature_columns = categorical_features + continuous_features
)
FEATURES = ['Age', 'Gender', 'ICD9Code']
LABEL = 'Condition'
//create the input function
def get_input_fn(data_set, num_epochs, n_batch, shuffle):
input = tf.compat.v1.estimator.inputs.pandas_input_fn(
x = pd.DataFrame({k: data_set[k].values for k in FEATURES}),
y = pd.Series(data_set[LABEL].values),
batch_size = n_batch,
num_epochs = num_epochs,
shuffle = shuffle
)
return input
//train the estimator
model.train(
input_fn = get_input_fn(csv_data, num_epochs = None, n_batch = 10461, shuffle = False
),
steps = 1000
)
//create the prediction input function
predict_input_fn = tf.compat.v1.estimator.inputs.numpy_input_fn(
x = {k: df[k].values for k in FEATURES}, //df is the test data set
y = None,
batch_size = 1,
num_epochs = 1,
shuffle = False,
num_threads = 1
)
predict_results = model.predict(predict_input_fn)
print(row_pre, next(predict_results))