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

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

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

ModuleNotFoundError: No module named 'photonai'

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