added copyright notice and license at the top

This commit is contained in:
Nicolo Fusi 2012-11-29 16:39:20 +00:00
parent 61984274dd
commit 92adeecb6c
51 changed files with 204 additions and 0 deletions

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import kern import kern
import models import models
import inference import inference

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from model import * from model import *
from parameterised import * from parameterised import *
import priors import priors

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from scipy import optimize from scipy import optimize
import sys, pdb import sys, pdb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import re import re
import copy import copy

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
from scipy.special import gammaln, digamma from scipy.special import gammaln, digamma

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
import GPy import GPy

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
""" """
Simple Gaussian Processes regression with an RBF kernel Simple Gaussian Processes regression with an RBF kernel
""" """

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
""" """
Simple one-dimensional Gaussian Processes with assorted kernel functions Simple one-dimensional Gaussian Processes with assorted kernel functions
""" """

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
""" """
Simple Gaussian Processes classification Simple Gaussian Processes classification
""" """

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import cPickle as pickle import cPickle as pickle
import numpy as np import numpy as np
import pylab as pb import pylab as pb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
""" """
Gaussian Processes regression examples Gaussian Processes regression examples
""" """

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
import GPy import GPy

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
""" """
Sparse Gaussian Processes regression with an RBF kernel Sparse Gaussian Processes regression with an RBF kernel

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import scipy as sp import scipy as sp
import pdb, sys, pickle import pdb, sys, pickle

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import random import random
from scipy import stats, linalg from scipy import stats, linalg

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from scipy import stats from scipy import stats
import scipy as sp import scipy as sp

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from scipy import optimize from scipy import optimize
# import rasmussens_minimize as rasm # import rasmussens_minimize as rasm
import pdb import pdb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from scipy import linalg, optimize from scipy import linalg, optimize
import pylab as pb import pylab as pb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from new import instancemethod from new import instancemethod
#this is here so that we can have nice syntatic sugar when taking gradients #this is here so that we can have nice syntatic sugar when taking gradients
# See the transform_gradients decorator in kern # See the transform_gradients decorator in kern

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from constructors import rbf, Matern32, Matern52, exponential, linear, white, bias, finite_dimensional, rbf_ARD, spline, Brownian, linear_ARD from constructors import rbf, Matern32, Matern52, exponential, linear, white, bias, finite_dimensional, rbf_ARD, spline, Brownian, linear_ARD
from kern import kern from kern import kern

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from kern import kern from kern import kern

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
from ..util.linalg import pdinv,mdot from ..util.linalg import pdinv,mdot

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from ..core.parameterised import parameterised from ..core.parameterised import parameterised
from DelayedDecorator import DelayedDecorator from DelayedDecorator import DelayedDecorator

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
class kernpart(object): class kernpart(object):
def __init__(self,D): def __init__(self,D):
""" """

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
class linear(kernpart): class linear(kernpart):

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
import hashlib import hashlib

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from kernpart import kernpart from kernpart import kernpart
import numpy as np import numpy as np
class white(kernpart): class white(kernpart):

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
import sys, pdb import sys, pdb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
from scipy import stats, linalg from scipy import stats, linalg

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
from .. import kern from .. import kern

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from GP_regression import GP_regression from GP_regression import GP_regression
from sparse_GP_regression import sparse_GP_regression from sparse_GP_regression import sparse_GP_regression
from GPLVM import GPLVM from GPLVM import GPLVM

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
from scipy import stats, linalg from scipy import stats, linalg

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
import sys, pdb import sys, pdb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import pylab as pb import pylab as pb
from ..util.linalg import mdot, jitchol, chol_inv, pdinv from ..util.linalg import mdot, jitchol, chol_inv, pdinv

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from .. import kern from .. import kern
from ..core import model from ..core import model

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import unittest import unittest
import numpy as np import numpy as np
import GPy import GPy

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import matplotlib as mpl import matplotlib as mpl
import pylab as pb import pylab as pb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import linalg import linalg
import misc import misc
import plot import plot

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
from scipy import linalg, optimize from scipy import linalg, optimize
import pylab as pb import pylab as pb

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
def linear_grid(D, n = 100, min_max = (-100, 100)): def linear_grid(D, n = 100, min_max = (-100, 100)):

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import Tango import Tango
import pylab as pb import pylab as pb
import numpy as np import numpy as np

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
def sigmoid(x): def sigmoid(x):

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# Copyright (c) 2012, GPy authors (see AUTHORS.txt).
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np import numpy as np
import scipy as sp import scipy as sp
import pylab as plt import pylab as plt