def simple_predictive_probability_multistate(self,
M_c,
X_L_list,
X_D_list,
Y,
Q,
epsilon=0.001):
"""Calculate the probability of a cell taking a value within epsilon of
the specified values given a latent state
:param M_c: The column metadata
:type M_c: dict
:param X_L_list: list of the latent variables associated with the latent state
:type X_L_list: list of dict
:param X_D_list: list of the particular cluster assignments of each row in each view
:type X_D_list: list of list of lists
:param Y: A list of constraints to apply when sampling. Each constraint
is a triplet of (r, d, v): r is the row index, d is the column
index and v is the value of the constraint
:type Y: list of lists
:param Q: A list of values to sample. Each value is doublet of (r, d):
r is the row index, d is the column index
:type Q: list of lists
:param epsilon: the window around the specified value to take the delta
in cdf of
:type epsilon: float
:returns: list of floats -- probabilities of the values specified by Q
"""
return su.simple_predictive_probability_multistate(
M_c, X_L_list, X_D_list, Y, Q, epsilon)
def simple_predictive_probability_multistate(M_c, X_L_list, X_D_list, Y, Q, epsilon=.001):
"""
Returns the simple predictive probability averaged over each latent state.
See simple_predicitive_probability.
:param M_c: The column metadata
:type M_c: dict
:param X_L: the latent variables associated with the latent state
:type X_L: dict
:param X_D: the particular cluster assignments of each row in each view
:type X_D: list of lists
:param Y: A list of constraints to apply when sampling. Each constraint
is a triplet of (r, d, v): r is the row index, d is the column
index and v is the value of the constraint
:type Y: list of lists
:param Q: A list of values to sample. Each value is doublet of (r, d):
r is the row index, di is the column index
:type Q: list of lists
:param epsilon: the window around the specified value to take the delta
in cdf of
:type epsilon: float
:returns: list of floats -- probabilities of the values specified by Q
"""
return su.simple_predictive_probability_multistate(M_c, X_L_list, X_D_list, Y, Q, epsilon)
def simple_predictive_probability_multistate(
self, M_c, X_L_list, X_D_list, Y, Q):
"""Calculate probability of a cell taking a value given a latent state.
:param Y: A list of constraints to apply when querying. Each constraint
is a triplet of (r,d,v): r is the row index, d is the column
index and v is the value of the constraint
:type Y: list of lists
:param Q: A list of values to query. Each value is triplet of (r,d,v):
r is the row index, d is the column index, and v is the value at
which the density is evaluated.
:type Q: list of lists
:returns: list of floats -- probabilities of the values specified by Q
"""
return su.simple_predictive_probability_multistate(
M_c, X_L_list, X_D_list, Y, Q)
def simple_predictive_probability_multistate(self, M_c, X_L_list, X_D_list, Y, Q):
"""Calculate the probability of a cell taking a value given a latent state
:param M_c: The column metadata
:type M_c: dict
:param X_L_list: list of the latent variables associated with the latent state
:type X_L_list: list of dict
:param X_D_list: list of the particular cluster assignments of each row in each view
:type X_D_list: list of list of lists
:param Y: A list of constraints to apply when sampling. Each constraint
is a triplet of (r, d, v): r is the row index, d is the column
index and v is the value of the constraint
:type Y: list of lists
:param Q: A list of values to sample. Each value is doublet of (r, d):
r is the row index, d is the column index
:type Q: list of lists
:returns: list of floats -- probabilities of the values specified by Q
"""
return su.simple_predictive_probability_multistate(M_c, X_L_list, X_D_list, Y, Q)
def simple_predictive_probability_multistate(self, M_c, X_L_list, X_D_list, Y, Q):
"""Calculate the probability of a cell taking a value given a latent state
:param M_c: The column metadata
:type M_c: dict
:param X_L_list: list of the latent variables associated with the latent state
:type X_L_list: list of dict
:param X_D_list: list of the particular cluster assignments of each row in each view
:type X_D_list: list of list of lists
:param Y: A list of constraints to apply when querying. Each constraint
is a triplet of (r,d,v): r is the row index, d is the column
index and v is the value of the constraint
:type Y: list of lists
:param Q: A list of values to query. Each value is triplet of (r,d,v):
r is the row index, d is the column index, and v is the value at
which the density is evaluated.
:type Q: list of lists
:returns: list of floats -- probabilities of the values specified by Q
"""
return su.simple_predictive_probability_multistate(M_c, X_L_list, X_D_list, Y, Q)
