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35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
from __future__ import annotations
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import pandas as pd
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from models.base import Model
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class Reporting:
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def __init__(self):
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self.results: pd.DataFrame = pd.DataFrame()
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self.all_predictions: pd.DataFrame = pd.DataFrame()
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self.all_probabilities: pd.DataFrame = pd.DataFrame()
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self.all_assets:list[Reporting.Asset] = []
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def get_results(self)->tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame, list[Reporting.Asset]]:
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return self.results, self.all_predictions, self.all_probabilities, self.all_assets
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class Single_Model:
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def __init__(self, model_name: str, model_over_time: list[Model]):
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self.model_name: str = model_name
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self.model_over_time: list[Model] = model_over_time
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class Training_Step:
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def __init__(self, level: str):
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self.level: str = level
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self.base: list[Reporting.Single_Model] = []
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self.metalabeling: list[list[Reporting.Single_Model]] = []
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class Asset():
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def __init__(self, ticker: str, primary: Reporting.Training_Step, secondary: Reporting.Training_Step):
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self.name: str = ticker
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self.primary: Reporting.Training_Step = primary
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self.secondary: Reporting.Training_Step = secondary
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