def run(self, data, coefficients, resources=None):
"""
Return a 1D array of outcomes of linear regression (1 outcome per observation).
'coefficients' is a 1D array.
'data' is a 2D numpy array of the actual data (nobservations x ncoefficients),
it can be created by Dataset.create_regression_data(...).
"""
if data.ndim < 2:
raise StandardError, "Argument 'data' must be a 2D numpy array."
beta = coefficients
if not check_dimensions(data[0, :], beta):
raise StandardError, "Mismatch in dimensions of 'data' and 'coefficients.beta'."
return sum(beta * data, axis=1)
def run(self, data, coefficients, resources=None):
"""
Return a 1D array of outcomes of linear regression (1 outcome per observation).
'coefficients' is a 1D array.
'data' is a 2D numpy array of the actual data (nobservations x ncoefficients),
it can be created by Dataset.create_regression_data(...).
"""
if data.ndim < 2:
raise StandardError, "Argument 'data' must be a 2D numpy array."
beta = coefficients
if not check_dimensions(data[0,:], beta):
raise StandardError, "Mismatch in dimensions of 'data' and 'coefficients.beta'."
return sum(beta*data,axis=1)
def run(self, data, coefficients, resources=None):
"""
Return a 2D array of utilities (nobservations x nequations).
'coefficients' is a 2D array of coefficients (nequations x ncoefficients).
'data' is a 3D numpy array of the actual data (nobservations x nequations x ncoefficients),
it can be created by InteractionDataset.create_logit_data(...).
"""
if data.ndim < 3:
raise StandardError, "Argument 'data' must be a 3D numpy array."
if coefficients.ndim > 1:
if not check_dimensions(data[0,:,:], coefficients):
raise StandardError, "Mismatch in dimensions of data and coefficients."
utility = inner1d(data, coefficients)
return utility
def run(self, data, coefficients, resources=None):
"""
Return a 2D array of utilities (nobservations x nequations).
'coefficients' is a 2D array of coefficients (nequations x ncoefficients).
'data' is a 3D numpy array of the actual data (nobservations x nequations x ncoefficients),
it can be created by InteractionDataset.create_logit_data(...).
"""
if data.ndim < 3:
raise StandardError, "Argument 'data' must be a 3D numpy array."
if coefficients.ndim > 1:
if not check_dimensions(data[0, :, :], coefficients):
raise StandardError, "Mismatch in dimensions of data and coefficients."
utility = inner1d(data, coefficients)
return utility
