Tags down


get sklearn.LabelEncoder() mappings after fit_transform

By : Max
Date : October 16 2020, 08:10 PM
this one helps. You should refrain from in-line initialisation if you want to be able to make use of the mappings or inverse-transformation later.
code :
data = ['A', 'A', 'B', 'C', 'B', 'B'] # `y`

le = LabelEncoder()
mapped = le.fit_transform(data)

mapping = dict(zip(le.classes_, range(1, len(le.classes_)+1)))
# {'A': 1, 'B': 2, 'C': 3}
# ['A' 'A' 'B' 'C' 'B' 'B']

Share : facebook icon twitter icon

LabelEncoder().fit_transform vs. pd.get_dummies for categorical coding

By : Kelly
Date : March 29 2020, 07:55 AM
Hope that helps Yes, you can skip the use of LabelEncoder if you only want to encode string features. On the other hand if you have a categorical column of integers (instead of strings) then pd.get_dummies will leave as it is (see your A or C column for example). In that case you should use OneHotEncoder. Ideally OneHotEncoder would support both integer and strings but this is being worked on at the moment.

Error when trying to use labelEncoder() in sklearn "Attribute error: module object has no attribute labelEncoder&qu

By : David Masi
Date : March 29 2020, 07:55 AM
To fix the issue you can do I am new to python and sklearn. I installed sklearn using , Try this
code :
from sklearn import preprocessing
le = preprocessing.LabelEncoder()

Scikit-learn labelencoder: how to preserve mappings between batches?

By : Sliicezr
Date : March 29 2020, 07:55 AM
like below fixes the issue I suggest using Pandas' get_dummies() for this, since sklearn's OneHotEncoder() needs to see all possible categorical values when .fit(), otherwise it will throw an error when it encounters a new one during .transform().
code :
# Create toy dataset and split to batches
data_column = pd.Series(['Paris', 'Tokyo', 'Rome', 'London', 'Chicago', 'Paris'])
batch_1 = data_column[:3]
batch_2 = data_column[3:]

# Convert categorical feature column to matrix of dummy variables
batch_1_encoded = pd.get_dummies(batch_1, prefix='City')
batch_2_encoded = pd.get_dummies(batch_2, prefix='City')

# Row-bind (append) Encoded Data Back Together
final_encoded = pd.concat([batch_1_encoded, batch_2_encoded], axis=0)

# Final wrap-up. Replace nans with 0, and convert flags from float to int
final_encoded = final_encoded.fillna(0)
final_encoded[final_encoded.columns] = final_encoded[final_encoded.columns].astype(int)

   City_Chicago  City_London  City_Paris  City_Rome  City_Tokyo
0             0            0           1          0           0
1             0            0           0          0           1
2             0            0           0          1           0
3             0            1           0          0           0
4             1            0           0          0           0
5             0            0           1          0           0

type error with LabelEncoder.fit_transform()

By : RoOLa َ
Date : March 29 2020, 07:55 AM
To fix the issue you can do Try using following link to sklearn. LabelEncoder is a utility class and need to create the object with LabelEncoder():
code :
le = LabelEncoder()
df['Sex'] = le.fit_transform(df['Sex'])
# create test series
gender = pd.Series(['male', 'female', 'male'])

le = LabelEncoder()
transformed_val = le.fit_transform(gender)

# checking result after using label encoder
[1 0 1]

See the mappings of a LabelEncoder

By : SBarthwal
Date : March 29 2020, 07:55 AM
hop of those help? I face a problem concerning the LabelEncoder. I applied it to a data set as follows: , I think this simple piece of code:
code :
data = ['apple', 'banana', 'kiwi', 'apple']
le = LabelEncoder()
Related Posts Related Posts :
  • Get mongod rs.status() results from a python script
  • ImportError: C extension: No module named 'parsing' not built
  • python pandas update column values related to previous updated row during iteration over it
  • 3 nested loops: Optimizing a simple simulation for speed
  • Assign subset of values to pandas dataframe with MultiIndex
  • How to group two sets of buttons on each top corner of the screen using Tkinter?
  • django login using class based for custom user
  • MRJob sort reducer output
  • Python Pandas Counts using rolling time window
  • Getting or editing a string from a column in a csv file with pandas
  • Python - Delete row in matrix/array if row contains
  • Using dicom Images with OpenCV in Python
  • Odoo ghost record
  • Creating and assigning multiple variables in a tkinter application
  • Graph dictionary
  • No changes to original dataframe after applying loop
  • AUC of Random forest model is lower after tuning parameters using hypergrid search and CV with 10 folds
  • Python: Reading multiple CSV files, and assigning each to a different variable
  • How to identify empty rectangle using OpenCV
  • How to iterate multilevel dataframe in python
  • How to limit the contour plot with a line plot?
  • Why subclassing a str or int behaves differently from subclising a list or dict?
  • Python decode with translation table
  • i need to click unordered links in the below URL using selenium, python
  • How to join pandas dataframe with itself?
  • How to apply a color cast to a video frame in OpenCV Python?
  • Is there any existing library for median filtering with kernel size greater then 5 using OpenCL acceleration in python?
  • Changing the color of points in scatter plot for different dummy values
  • Calculate center for each polygon in a list efficiently
  • Loading modules in the same Python package
  • replacing pixels in an imagewith pixels from another image python
  • Suggestion on picking the best options of two lists (minimum and maximum )python
  • Resetting Index in a Dataframe drops the Indexed column by 1 row
  • Convert number which are str from readlines to digits - python
  • Unable to authenitcate with python minds api
  • Print variables from a query in python
  • Ipython does not see the installed library
  • Javascript-like array-method chaining in Python?
  • PyQT: Get contents CustFormWidgetIem inside QListWidgetItem
  • Bottle server: HTTPResponse vs bottle.response
  • pytorch vgg model test on one image
  • Runtime scope and `main` symbol is different inside or outside a function
  • Use anaconda in pycharm (Import libraries error, updating anaconda and virtual environment)
  • how to get the sum of a CSV column list to print
  • Python plot drop lines with repeating value in column
  • receive binary file from POST request with BaseHTTPRequestHandler
  • D-Bus - 'ServiceUnknown' exception encountered while calling a remote procedure
  • Pandas .min() method doesn't seem fastest
  • Pandas: How to reference columns of structure: ('Name', n) ('Name', n+1)
  • Read a text file and remove all characters except alphabets & spaces in Python
  • Compute all powerset intersections of two lists
  • Applying literal_eval on string of lists of POS tags gives ValueError
  • Modelling a logic puzzle
  • What is the meaning of Copy_X in sklearn linear models
  • selenium.common.exceptions.ElementNotInteractableException: Message: Element is not displayed
  • pydev debugger does not stop in breakpoint
  • Python windows path regex
  • Flask and selenium-hub are not communicating when dockerised
  • How to use groupby on a single column and perform comparisons for multiple columns in Pandas?
  • Locate a python script without absolute path
  • shadow
    Privacy Policy - Terms - Contact Us © voile276.org