pylfi.journal.Journal

class pylfi.journal.Journal

Journal class.

Journal with results and information created by the run of inference schemes.

Attributes

df

Methods

compute_hdi(theta, hdi_prob)	Highest (posterior) density interval
compute_point_est(theta, density, point_estimate)	Compute point estimate
compute_rmspe(theta_true, theta_pred)	Root mean square percentage error (RMSPE)
load(filename)	This method reads a saved journal from disk an returns it as an object.
save(filename)	Stores the journal to disk.
thetas_pred([size])	Parameters drawn from posterior predictive distribution

heatmap
plot_joint
plot_posterior
plot_prior

thetas_pred(size=50)

Parameters drawn from posterior predictive distribution

compute_rmspe(theta_true, theta_pred)

Root mean square percentage error (RMSPE)

compute_hdi(theta, hdi_prob)

Highest (posterior) density interval

compute_point_est(theta, density, point_estimate)

Compute point estimate

save(filename)

Stores the journal to disk.

Function from ABCpy source code.

Parameters

filename: string

the location of the file to store the current object to.

classmethod load(filename)

This method reads a saved journal from disk an returns it as an object.

Function from ABCpy source code.

Returns

abcpy.output.Journal

The journal object serialized in <filename>

Example

>>> jnl = Journal.load('example_output.jnl')
    ..

Notes

To store a journal use Journal.save(filename). Parameters ———- filename: string

The string representing the location of a file

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pylfi.utils.advance_PRNG_state