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revert all changes in normalize_data()

This commit is contained in:
robcaulk 2022-09-03 19:48:30 +02:00
parent c21808ff98
commit 5cfb4154eb
1 changed files with 6 additions and 7 deletions
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13
freqtrade/freqai/data_kitchen.py
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@ -288,12 +288,11 @@ class FreqaiDataKitchen:
:data_dictionary: updated dictionary with standardized values.
"""
df = data_dictionary["train_features"]
# standardize the data by training stats
train_max = df.max()
train_min = df.min()
df = (
2 * (df - train_min) / (train_max - train_min) - 1
train_max = data_dictionary["train_features"].max()
train_min = data_dictionary["train_features"].min()
data_dictionary["train_features"] = (
2 * (data_dictionary["train_features"] - train_min) / (train_max - train_min) - 1
)
data_dictionary["test_features"] = (
2 * (data_dictionary["test_features"] - train_min) / (train_max - train_min) - 1
@ -322,8 +321,8 @@ class FreqaiDataKitchen:
- 1
)
self.data[f"{item}_max"] = train_labels_max
self.data[f"{item}_min"] = train_labels_min
self.data[f"{item}_max"] = train_labels_max
self.data[f"{item}_min"] = train_labels_min
return data_dictionary
def normalize_single_dataframe(self, df: DataFrame) -> DataFrame: