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* Intermediate version * Fix yaml template & Successfully run rolling * Be compatible with benchmark * Get same results with previous linear model * Black formatting * Update black * Update the placeholder mechanism * Update CI * Update CI * Upgrade Black * Fix CI and simplify code * Fix CI * Move the data processing caching mechanism into utils. * Adjusting DDG-DA * Organize import
36 lines
930 B
Python
36 lines
930 B
Python
# Copyright (c) Microsoft Corporation.
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# Licensed under the MIT License.
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"""
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This module is responsible for analysing data
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Assumptions
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- The analyse each feature individually
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"""
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import pandas as pd
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from qlib.log import TimeInspector
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from qlib.contrib.report.utils import sub_fig_generator
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class FeaAnalyser:
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def __init__(self, dataset: pd.DataFrame):
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self._dataset = dataset
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with TimeInspector.logt("calc_stat_values"):
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self.calc_stat_values()
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def calc_stat_values(self):
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pass
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def plot_single(self, col, ax):
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raise NotImplementedError(f"This type of input is not supported")
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def skip(self, col):
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return False
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def plot_all(self, *args, **kwargs):
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ax_gen = iter(sub_fig_generator(*args, **kwargs))
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for col in self._dataset:
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if not self.skip(col):
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ax = next(ax_gen)
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self.plot_single(col, ax)
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