DummyTransformer

In [1]:

# Example for dummy classifier

# Example for dummy classifier

In [2]:

# IMPORTANT: import your project once
import project_name

# IMPORTANT: import your project once import project_name

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[2], line 2
      1 # IMPORTANT: import your project once
----> 2 import project_name

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/project_name/__init__.py:3
      1 import os
      2 from datetime import datetime
----> 3 from photonai.base import PhotonRegistry
      4 from photonai.photonlogger import logger
      6 from .version import __version__

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/photonai/__init__.py:17
      1 """
      2 PHOTONAI
      3 is a rapid prototyping framework enabling (not so experienced) users to build, train, optimize, evaluate,
   (...)
     13 
     14 """
     15 from .version import __version__
---> 17 from .base import Hyperpipe, OutputSettings, Stack, Switch, Branch, PipelineElement, ParallelBranch, \
     18     PhotonRegistry, DataFilter, CallbackElement, Preprocessing, ClassificationPipe, ClassifierSwitch, \
     19     RegressionPipe, RegressorSwitch
     20 from .optimization import FloatRange, IntegerRange, Categorical, MinimumPerformanceConstraint, \
     21     BestPerformanceConstraint, DummyPerformanceConstraint, BooleanSwitch
     22 from .base.json_transformer import JsonTransformer

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/photonai/base/__init__.py:3
      1 """ PHOTON Base Classes enabling the nested-cross-validated hyperparameter search."""
----> 3 from .hyperpipe import Hyperpipe, OutputSettings
      4 from .photon_elements import Stack, Switch, Branch, DataFilter, CallbackElement, PhotonNative, Preprocessing, \
      5     PipelineElement, ParallelBranch
      6 from .model_zoo import ClassificationPipe, ClassifierSwitch, RegressionPipe, RegressorSwitch

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/photonai/base/hyperpipe.py:21
     19 from bson.objectid import ObjectId
     20 from dask.distributed import Client
---> 21 from sklearn.base import BaseEstimator
     22 from sklearn.dummy import DummyClassifier, DummyRegressor
     23 import joblib

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/__init__.py:83
     69     # We are not importing the rest of scikit-learn during the build
     70     # process, as it may not be compiled yet
     71 else:
   (...)
     77     # later is linked to the OpenMP runtime to make it possible to introspect
     78     # it and importing it first would fail if the OpenMP dll cannot be found.
     79     from . import (
     80         __check_build,  # noqa: F401
     81         _distributor_init,  # noqa: F401
     82     )
---> 83     from .base import clone
     84     from .utils._show_versions import show_versions
     86     __all__ = [
     87         "calibration",
     88         "cluster",
   (...)
    129         "show_versions",
    130     ]

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/base.py:19
     17 from ._config import config_context, get_config
     18 from .exceptions import InconsistentVersionWarning
---> 19 from .utils import _IS_32BIT
     20 from .utils._estimator_html_repr import estimator_html_repr
     21 from .utils._metadata_requests import _MetadataRequester

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/utils/__init__.py:22
     20 from ._bunch import Bunch
     21 from ._estimator_html_repr import estimator_html_repr
---> 22 from ._param_validation import Interval, validate_params
     23 from .class_weight import compute_class_weight, compute_sample_weight
     24 from .deprecation import deprecated

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/utils/_param_validation.py:15
     12 from scipy.sparse import csr_matrix, issparse
     14 from .._config import config_context, get_config
---> 15 from .validation import _is_arraylike_not_scalar
     18 class InvalidParameterError(ValueError, TypeError):
     19     """Custom exception to be raised when the parameter of a class/method/function
     20     does not have a valid type or value.
     21     """

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/utils/validation.py:24
     21 import scipy.sparse as sp
     23 # mypy error: Module 'numpy.core.numeric' has no attribute 'ComplexWarning'
---> 24 from numpy.core.numeric import ComplexWarning  # type: ignore
     26 from .. import get_config as _get_config
     27 from ..exceptions import DataConversionWarning, NotFittedError, PositiveSpectrumWarning

ImportError: cannot import name 'ComplexWarning' from 'numpy.core.numeric' (/opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/numpy/core/numeric.py)

In [3]:

from photonai.base import Hyperpipe, PipelineElement
from sklearn.model_selection import KFold

from photonai.base import Hyperpipe, PipelineElement from sklearn.model_selection import KFold

---------------------------------------------------------------------------
ImportError                               Traceback (most recent call last)
Cell In[3], line 1
----> 1 from photonai.base import Hyperpipe, PipelineElement
      2 from sklearn.model_selection import KFold

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/photonai/__init__.py:17
      1 """
      2 PHOTONAI
      3 is a rapid prototyping framework enabling (not so experienced) users to build, train, optimize, evaluate,
   (...)
     13 
     14 """
     15 from .version import __version__
---> 17 from .base import Hyperpipe, OutputSettings, Stack, Switch, Branch, PipelineElement, ParallelBranch, \
     18     PhotonRegistry, DataFilter, CallbackElement, Preprocessing, ClassificationPipe, ClassifierSwitch, \
     19     RegressionPipe, RegressorSwitch
     20 from .optimization import FloatRange, IntegerRange, Categorical, MinimumPerformanceConstraint, \
     21     BestPerformanceConstraint, DummyPerformanceConstraint, BooleanSwitch
     22 from .base.json_transformer import JsonTransformer

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/photonai/base/__init__.py:3
      1 """ PHOTON Base Classes enabling the nested-cross-validated hyperparameter search."""
----> 3 from .hyperpipe import Hyperpipe, OutputSettings
      4 from .photon_elements import Stack, Switch, Branch, DataFilter, CallbackElement, PhotonNative, Preprocessing, \
      5     PipelineElement, ParallelBranch
      6 from .model_zoo import ClassificationPipe, ClassifierSwitch, RegressionPipe, RegressorSwitch

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/photonai/base/hyperpipe.py:21
     19 from bson.objectid import ObjectId
     20 from dask.distributed import Client
---> 21 from sklearn.base import BaseEstimator
     22 from sklearn.dummy import DummyClassifier, DummyRegressor
     23 import joblib

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/__init__.py:83
     69     # We are not importing the rest of scikit-learn during the build
     70     # process, as it may not be compiled yet
     71 else:
   (...)
     77     # later is linked to the OpenMP runtime to make it possible to introspect
     78     # it and importing it first would fail if the OpenMP dll cannot be found.
     79     from . import (
     80         __check_build,  # noqa: F401
     81         _distributor_init,  # noqa: F401
     82     )
---> 83     from .base import clone
     84     from .utils._show_versions import show_versions
     86     __all__ = [
     87         "calibration",
     88         "cluster",
   (...)
    129         "show_versions",
    130     ]

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/base.py:19
     17 from ._config import config_context, get_config
     18 from .exceptions import InconsistentVersionWarning
---> 19 from .utils import _IS_32BIT
     20 from .utils._estimator_html_repr import estimator_html_repr
     21 from .utils._metadata_requests import _MetadataRequester

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/utils/__init__.py:22
     20 from ._bunch import Bunch
     21 from ._estimator_html_repr import estimator_html_repr
---> 22 from ._param_validation import Interval, validate_params
     23 from .class_weight import compute_class_weight, compute_sample_weight
     24 from .deprecation import deprecated

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/utils/_param_validation.py:15
     12 from scipy.sparse import csr_matrix, issparse
     14 from .._config import config_context, get_config
---> 15 from .validation import _is_arraylike_not_scalar
     18 class InvalidParameterError(ValueError, TypeError):
     19     """Custom exception to be raised when the parameter of a class/method/function
     20     does not have a valid type or value.
     21     """

File /opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/sklearn/utils/validation.py:24
     21 import scipy.sparse as sp
     23 # mypy error: Module 'numpy.core.numeric' has no attribute 'ComplexWarning'
---> 24 from numpy.core.numeric import ComplexWarning  # type: ignore
     26 from .. import get_config as _get_config
     27 from ..exceptions import DataConversionWarning, NotFittedError, PositiveSpectrumWarning

ImportError: cannot import name 'ComplexWarning' from 'numpy.core.numeric' (/opt/hostedtoolcache/Python/3.10.8/x64/lib/python3.10/site-packages/numpy/core/numeric.py)

Create dataset

In [4]:

import numpy as np
X = np.random.rand(10, 10)
y = np.random.rand(10)

import numpy as np X = np.random.rand(10, 10) y = np.random.rand(10)

Setup pipeline

In [5]:

my_pipe += PipelineElement("DummyTransformer", dummy_hp=3)

my_pipe += PipelineElement("DummyTransformer", dummy_hp=3)

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[5], line 1
----> 1 my_pipe += PipelineElement("DummyTransformer", dummy_hp=3)

NameError: name 'my_pipe' is not defined

In [6]:

my_pipe += PipelineElement("SVR")

my_pipe += PipelineElement("SVR")

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[6], line 1
----> 1 my_pipe += PipelineElement("SVR")

NameError: name 'my_pipe' is not defined

In [7]:

my_pipe.fit(X, y)

my_pipe.fit(X, y)

---------------------------------------------------------------------------
NameError                                 Traceback (most recent call last)
Cell In[7], line 1
----> 1 my_pipe.fit(X, y)

NameError: name 'my_pipe' is not defined

Done