def statistics_olr(self, m):
if m is None:
return None
columns = [
variable.String("Variable"),
variable.Continuous("Coeff Est"),
variable.Continuous("Std Error"),
variable.Continuous("t-value"),
variable.Continuous("p")
]
domain = Orange.data.Domain(columns, None)
vars = ["Intercept"] if m.intercept else []
vars.extend([a.name for a in m.domain.attributes])
stats = []
geti = lambda list, i: list[i] if list is not None else "?"
for i, var in enumerate(vars):
coef = m.coefficients[i]
std_err = geti(m.std_error, i)
t_val = geti(m.t_scores, i)
p = geti(m.p_vals, i)
stats.append([var, coef, std_err, t_val, p])
return Orange.data.Table(domain, stats)
def matrix_to_table(matrix, items=None):
if items is None:
items = getattr(matrix, "items", None)
if items is None:
items = range(matrix.dim)
items = map(str, items)
attrs = [variable.Continuous(name) for name in items]
domain = Orange.data.Domain(attrs, None)
row_name = variable.String("Row name")
domain.addmeta(Orange.feature.Descriptor.new_meta_id(), row_name)
table = Orange.data.Table(domain, [list(r) for r in matrix])
for item, row in zip(items, table):
row[row_name] = item
return table
_global_id += 1
yield id
def uuid_generator():
import uuid
while True:
yield str(uuid.uuid4())
import Orange.feature
new_meta_id = Orange.feature.Descriptor.new_meta_id
_row_meta_id = new_meta_id()
_id_variable = variable.String("Row Id")
def add_row_id(table, start=0):
""" Add an Row Id meta variable to the table.
Parameters
==========
:param table: The ids will be added to this table.
:type table: Orange.data.Table
:param start: Start id for the ids. It can also be an iterator
yielding unique values.
:type start: int