Exemple #1
0
def traceplot(fit, pars, dtypes, **kwargs):
    """
    Use pymc's traceplot to display parameters.

    Additional arguments are passed to pymc.plots.traceplot.
    """
    # FIXME: eventually put this in the StanFit object
    # FIXME: write a to_pymc(_trace) function
    # Deprecation warning added in PyStan 2.18
    logger.warning("Deprecation warning."\
                   " PyStan plotting deprecated, use ArviZ library (Python 3.5+)."\
                   " `pip install arviz`; `arviz.plot_trace(fit)`)")
    try:
        from pystan.external.pymc import plots
    except ImportError:
        logger.critical("matplotlib required for plotting.")
        raise
    if pars is None:
        pars = list(fit.model_pars) + ["lp__"]
    values = fit.extract(dtypes=dtypes, pars=pars, permuted=False)
    values = {
        key: arr.reshape(-1, int(np.multiply.reduce(arr.shape[2:])), order="F")
        for key, arr in values.items()
    }
    return plots.traceplot(values, pars, **kwargs)
Exemple #2
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def traceplot(fit, pars):
    """Use pymc's traceplot to display parameters"""
    # FIXME: eventually put this in the StanFit object
    # FIXME: write a to_pymc(_trace) function
    try:
        from pystan.external.pymc import plots
    except ImportError:
        logger.critical("matplotlib required for plotting.")
        raise
    return plots.traceplot(fit.extract(), pars)
Exemple #3
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def traceplot(fit, vars=None):
    """Use pymc's traceplot to display parameters"""
    # FIXME: eventually put this in the StanFit object
    # FIXME: write a to_pymc(_trace) function
    samples = fit.extract()
    if vars is None:
        vars = [v for v in samples.keys() if v != 'lp__']
    try:
        from pystan.external.pymc import plots
    except ImportError:
        logger.critical("matplotlib required for plotting.")
        raise
    return plots.traceplot(fit.extract(), vars)
Exemple #4
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def traceplot(fit, pars, dtypes, **kwargs):
    """
    Use pymc's traceplot to display parameters.

    Additional arguments are passed to pymc.plots.traceplot.
    """
    # FIXME: eventually put this in the StanFit object
    # FIXME: write a to_pymc(_trace) function
    try:
        from pystan.external.pymc import plots
    except ImportError:
        logger.critical("matplotlib required for plotting.")
        raise
    return plots.traceplot(fit.extract(dtypes=dtypes), pars, **kwargs)
Exemple #5
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def traceplot(fit, pars, dtypes, **kwargs):
    """
    Use pymc's traceplot to display parameters.

    Additional arguments are passed to pymc.plots.traceplot.
    """
    # FIXME: eventually put this in the StanFit object
    # FIXME: write a to_pymc(_trace) function
    # Deprecation warning added in PyStan 2.18
    logger.warning("Deprecation warning."\
                   " In future, use ArviZ library (`pip install arviz`)")
    try:
        from pystan.external.pymc import plots
    except ImportError:
        logger.critical("matplotlib required for plotting.")
        raise
    if pars is None:
        pars = list(fit.model_pars) + ["lp__"]
    values = fit.extract(dtypes=dtypes, pars=pars, permuted=False)
    values = {key : arr.reshape(-1, int(np.multiply.reduce(arr.shape[2:])), order="F") for key, arr in values.items()}
    return plots.traceplot(values, pars, **kwargs)