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improve docs, update doc strings

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This commit is contained in:
robcaulk
2023-06-10 13:11:47 +02:00
parent d9bdd879ab
commit 41e37f9d32
3 changed files with 13 additions and 6 deletions
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11
docs/strategy_migration.md
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@@ -736,7 +736,7 @@ If you have created your own custom `IFreqaiModel` with a custom `train()`/`pred
The conversion involves first removing `data_cleaning_train/predict()` and replacing them with a `define_data_pipeline()` and `define_label_pipeline()` function to your `IFreqaiModel` class:
```python linenums="1" hl_lines="11-14 43-44 51-52"
```python linenums="1" hl_lines="11-14 47-49 55-57"
class MyCoolFreqaiModel(BaseRegressionModel):
"""
Some cool custom IFreqaiModel you made before Freqtrade version 2023.6
@@ -773,9 +773,13 @@ class MyCoolFreqaiModel(BaseRegressionModel):
dd["train_labels"], _, _ = dk.label_pipeline.fit_transform(dd["train_labels"])
dd["test_labels"], _, _ = dk.label_pipeline.transform(dd["test_labels"])
# ... your custom code
return model
def predict(
self, unfiltered_df: DataFrame, dk: FreqaiDataKitchen, **kwargs
) -> Tuple[DataFrame, npt.NDArray[np.int_]]: # 37
) -> Tuple[DataFrame, npt.NDArray[np.int_]]:
# ... your custom stuff
@@ -798,6 +802,9 @@ class MyCoolFreqaiModel(BaseRegressionModel):
else:
dk.DI_values = np.zeros(len(outliers.index))
dk.do_predict = outliers.to_numpy()
# ... your custom code
return (pred_df, dk.do_predict)
```