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Published May 12, 2021 | Version v0.11.0
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TUW-GEO/pytesmo: v0.11.0

Authors/Creators

  • 1. @vandersat
  • 2. TU Wien
  • 3. @tuw-geo

Description

  • Analytical and bootstrapping confidence intervals for metrics (PR #206). This includes some changes to the existing implementations (all old implementations are still available, but deprecated)

    • all pairwise metric functions take two arrays as input and return a single value

    • the correlation metrics (pearsonr, spearmanr, kendalltau) have new versions pearson_r, spearman_r, and kendall_tau which only return the correlation value, but not the p-value. The old functions have been deprecated. For calculating correlation + p-value, it is advised to use scipy.stats.pearsonr, scipy.stats.spearmanr, and scipy.stats.kendalltau. Instead of p-values, confidence intervals for the correlation coefficients could be obtained with::

      r, lower, upper = with_analytical_ci(pearson_r, x, y)

    • pytesmo.metrics.tcol_error and pytesmo.metrics.tcol_snr have been deprecated. Use pytesmo.metrics.tcol_metrics instead (which is simply a renaming of tcol_snr).

    • pytesmo.metrics.mse has been deprecated. There is a new, much faster implementation available (pytesmo.metrics.mse_decomposition). Individual values of the components can be calculated with pytesmo.metrics.mse, pytesmo.metrics.mse_corr, pytesmo.metrics.mse_bias, pytesmo.metrics.mse_var.
  • Removed dependency on deprecated Numpy API
  • added mean resampling in temporal collocation
  • updated to ascat version 2.0

Files

TUW-GEO/pytesmo-v0.11.0.zip

Files (686.7 kB)

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Additional details

Related works

Is supplement to
https://github.com/TUW-GEO/pytesmo/tree/v0.11.0 (URL)