Algorithms

class tramp.algos.ExpectationPropagation(model)

class tramp.algos.StateEvolution(model)

Initializations

class tramp.algos.ConstantInit(a=0, b=0)

class tramp.algos.NoisyInit(a_mean=0, a_var=0, b_mean=0, b_var=1)

class tramp.algos.CustomInit(a_init=None, b_init=None, a=0, b=0)

Custom init on variables

Parameters

• a_init (-) – Edges from/into variable.id and given direction will be initialized with a = a

• b_init (-) – Edges from/into variable.id and given direction will be initialized with b = b

• a (-) – Default constant value for a.

• b (-) – Default constant value for b.

Callbacks

Callbacks for ExpectationPropagation and StateEvolution algorithms.

class tramp.algos.callbacks.Callback

class tramp.algos.callbacks.EarlyStopping(ids='all', tol=1e-06, min_variance=- 1, wait_increase=5, max_increase=0.2)

class tramp.algos.callbacks.EarlyStoppingEP(ids='all', tol=1e-06, wait_increase=5, max_increase=0.2)

class tramp.algos.callbacks.JoinCallback(callbacks)

class tramp.algos.callbacks.LogProgress(ids='all', every=1)

class tramp.algos.callbacks.PassCallback

class tramp.algos.callbacks.TrackErrors(true_values, metrics=['mse'], every=1, verbose=False)

get_dataframe()

class tramp.algos.callbacks.TrackEstimate(ids='all', every=1)

get_dataframe()

class tramp.algos.callbacks.TrackEvolution(ids='all', every=1, verbose=False)

get_dataframe()

class tramp.algos.callbacks.TrackMessages(keys=['a', 'n_iter', 'direction'])

get_dataframe()

class tramp.algos.callbacks.TrackObjective

get_dataframe()

class tramp.algos.callbacks.TrackOverlaps(true_values, ids='all', every=1, verbose=False)

get_dataframe()

tramp.algos.callbacks.norm(x)