yatsm: Yet Another Time Series Model (YATSM): v0.6.0
Christopher E. Holden, Paulo Arévalo, Valerie J. Pasquarella · Zenodo (CERN European Organization for Nuclear Research) · 2016
v0.6.0 - 2016-04-22 Milestone v0.6.0 Changed CCDCesque: Optimize algorithm implementation. Performance estimates show 2x speed gain #70 CLI: Improve yatsm pixel by enabling the plotting of multiple refit model estimates on the same graph (commit) CLI: Improve yatsm pixel --embed option (commit) CLI: Add --verbose-yatsm to main yatsm command so it works with all programs running a YATSM algorithm (commit) Use setuptools entry points to point YATSM to available time series algorithms (commit) Added Expose stay_regularized for segment refitting steps #74 Add capability to specify fit section for statistical estimators that are passed to the fit method of the estimator #61 CCDCesque: allow specification of min_rmse per band using an array or just one value for all bands #75 Add submodule yatsm.regression.diagnostics for regression diagostics, including RMSE (commit) Add new module yatsm.accel with decorator (try_jit) that applies numba.jit to functions only if numba is available #70 Apply yatsm.accel.try_jit to calculation of yatsm.regression.diagnostics.rmse, yatsm.regression.robust_fit.RLM, and others #70 Benchmark algorithm performance across project history using Airspeed Velocity #71 Improve clean target in package's setup.py so it deletes built estimator pickles and .c/.so built with Cython (commit) Increase test coverage from ~20% to ~80% Added documentation to Read the Docs Fixed CCDCesque: Fix bug in calculation of end attribute for last timeseries record #72 CCDCesque: Fix bug in parsing of test_indices if user doesn't supply any #73 "Packaged" estimator pickles are built on installation of YATSM so they will work with user versions of libraries (commit) Fix DeprecationWarnings with scikit-learn>=0.17.0 (commit) yatsm.regression.robust_fit.RLM: Fix a bug caused by dividing by zero. This bug only occurs when the number of observations in a time series segment is approximately equal to the number of parameters (n ~= k) #86 Fix NumPy deprecation warnings and improve yatsm changemap num performance #83