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Quantum kernel estimation- parallel random kitchen sinks
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sdlrs
Quantum kernel estimation- parallel random kitchen sinks
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0759e11b
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0759e11b
authored
7 months ago
by
Edoardo Pasetto
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0759e11b
import
numpy
as
np
import
numpy
as
np
import
os
import
os
from
sklearn.preprocessing
import
QuantileTransformer
from
sklearn.preprocessing
import
QuantileTransformer
import
pandas
as
pd
import
pandas
as
pd
import
matplotlib.pyplot
as
plt
import
matplotlib.pyplot
as
plt
from
dimod.binary
import
BinaryQuadraticModel
from
dimod.binary
import
BinaryQuadraticModel
from
dwave.system
import
FixedEmbeddingComposite
from
dwave.system
import
FixedEmbeddingComposite
from
dwave.system
import
DWaveSampler
from
dwave.system
import
DWaveSampler
from
sklearn.svm
import
SVR
from
sklearn.svm
import
SVR
from
sklearn.svm
import
LinearSVR
from
sklearn.svm
import
LinearSVR
from
sklearn.model_selection
import
train_test_split
from
sklearn.model_selection
import
train_test_split
from
sklearn.metrics
import
r2_score
from
sklearn.metrics
import
r2_score
from
sklearn.metrics
import
mean_squared_error
as
mse
from
sklearn.metrics
import
mean_squared_error
as
mse
from
sklearn.gaussian_process
import
GaussianProcessRegressor
as
GPR
from
sklearn.gaussian_process
import
GaussianProcessRegressor
as
GPR
from
sklearn.gaussian_process.kernels
import
DotProduct
from
sklearn.gaussian_process.kernels
import
DotProduct
from
sklearn.gaussian_process.kernels
import
WhiteKernel
from
sklearn.gaussian_process.kernels
import
WhiteKernel
from
sklearn.gaussian_process.kernels
import
RBF
from
sklearn.gaussian_process.kernels
import
RBF
from
datetime
import
datetime
from
datetime
import
datetime
from
sklearn.model_selection
import
KFold
from
sklearn.model_selection
import
KFold
from
sklearn.metrics
import
make_scorer
from
sklearn.metrics
import
make_scorer
from
sklearn.model_selection
import
GridSearchCV
from
sklearn.model_selection
import
GridSearchCV
from
sklearn.kernel_ridge
import
KernelRidge
from
sklearn.kernel_ridge
import
KernelRidge
...
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