Added a display_progress keyword argument for MCMC classes which can be used to suppress progress message prints during sampling. Added an additional plot-style option to inference.plotting.matrix_plot which draws contours using highest-density intervals
Ockham’s plot for the mean evaluation of the predictive capacity of the models based on the criteria...
The steps down on the curve indicate the CNV cases, while the notches indicate censorship, when foll...
Plots displaying the performance of different mechanisms for modified Haslemere dataset.</p
Added a new function trace_plot to inference.plotting fixed a serious bug in inference.mcmc.MarkovC...
Added new set of Jupyter notebook demos, which can be found in the /demos/ directory Added a new fu...
Added feature to results structure to store all parameters names, regardless of whether or not they ...
Added a new class GpLinearInverter for performing Gaussian-process linear inversion. Added a new cov...
Breaking Breaking change: In plot_confusion_matrix(), the targets_col and predictions_col arguments...
Added a new MCMC sampling class EnsembleSampler, which is an implementation of the 'affine-invariant...
I have introduced a class for doing the classification and making plots which makes the inference ti...
This release contains significant improvements to the GpRegressor class, including: A new option to...
Fixed various bugs that appeared when testing after updating dependencies to numpy 1.15.0, scipy 1.3...
New features Added smoothed predicted survival curves to the plot.dynSuv(). Smoothing is based on t...
Fixed problem with state transition matrix where columns summed to one, not rows. Decoding results n...
Added a new class ParallelTempering to the inference.mcmc module which runs the 'parallel tempering'...
Ockham’s plot for the mean evaluation of the predictive capacity of the models based on the criteria...
The steps down on the curve indicate the CNV cases, while the notches indicate censorship, when foll...
Plots displaying the performance of different mechanisms for modified Haslemere dataset.</p
Added a new function trace_plot to inference.plotting fixed a serious bug in inference.mcmc.MarkovC...
Added new set of Jupyter notebook demos, which can be found in the /demos/ directory Added a new fu...
Added feature to results structure to store all parameters names, regardless of whether or not they ...
Added a new class GpLinearInverter for performing Gaussian-process linear inversion. Added a new cov...
Breaking Breaking change: In plot_confusion_matrix(), the targets_col and predictions_col arguments...
Added a new MCMC sampling class EnsembleSampler, which is an implementation of the 'affine-invariant...
I have introduced a class for doing the classification and making plots which makes the inference ti...
This release contains significant improvements to the GpRegressor class, including: A new option to...
Fixed various bugs that appeared when testing after updating dependencies to numpy 1.15.0, scipy 1.3...
New features Added smoothed predicted survival curves to the plot.dynSuv(). Smoothing is based on t...
Fixed problem with state transition matrix where columns summed to one, not rows. Decoding results n...
Added a new class ParallelTempering to the inference.mcmc module which runs the 'parallel tempering'...
Ockham’s plot for the mean evaluation of the predictive capacity of the models based on the criteria...
The steps down on the curve indicate the CNV cases, while the notches indicate censorship, when foll...
Plots displaying the performance of different mechanisms for modified Haslemere dataset.</p
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