Join the newly launched
Discord community for real-time discussions, peer support, and direct interaction with the Meridian team!
meridian.model.eda.eda_outcome.PairwiseCorrArtifact
Stay organized with collections
Save and categorize content based on your preferences.
Encapsulates artifacts from a single pairwise correlation analysis.
Inherits From: AnalysisArtifact
meridian.model.eda.eda_outcome.PairwiseCorrArtifact(
level: meridian.model.eda.eda_outcome.AnalysisLevel,
corr_matrix: xr.DataArray,
extreme_corr_var_pairs: pd.DataFrame,
extreme_corr_threshold: float
)
Attributes |
corr_matrix
|
Pairwise correlation matrix.
|
extreme_corr_var_pairs
|
DataFrame of variable pairs exceeding the
correlation threshold. Includes 'correlation' and 'abs_correlation'
columns, and is sorted by 'abs_correlation' in descending order.
|
extreme_corr_threshold
|
The threshold used to identify extreme correlation
pairs.
|
level
|
Dataclass field
|
Methods
__eq__
__eq__(
other
)
Return self==value.
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-12-03 UTC.
[null,null,["Last updated 2025-12-03 UTC."],[],[]]