pyod | A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection) | Predictive Analytics library
kandi X-RAY | pyod Summary
kandi X-RAY | pyod Summary
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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Top functions reviewed by kandi - BETA
- Visualize the classifier
- Get color codes
- Check the shape of the input dataset
- Compute the discriminator
- Create a discriminator
- Create a model
- Generate data clusters for clustering
- Check the parameter bounds
- Fit the model
- Generate negative samples from a given distribution
- Fit the VAE model
- Compute the decision function
- Fit the Keras model
- Fit the classification model
- Fit the Estimator model
- Compute the clustering estimator
- Compute the histogram of the classifier
- Estimate the classifier
- Generate a data_categorical
- Generate training data
- Fit the estimator
- Plots an outlier score
- Compute the model
- Fit the feature space
- Fit the PCA model
- Plot the inliers and outliers
pyod Key Features
pyod Examples and Code Snippets
Lines of Code : 210License : Non-SPDX (BSD 2-Clause "Simplified" License)
Copy# -*- coding: utf-8 -*-
"""Using Auto Encoder with Outlier Detection
"""
# Author: Yue Zhao
# License: BSD 2 clause
from __future__ import division
from __future__ import print_function
import torch
import numpy as np
from sklearn.preprocessing im '''Utility function for unifying mat files
'''
import os
import h5py
import scipy as sp
import numpy as np
with h5py.File(os.path.join('../datasets', 'http.mat'), 'r') as file:
print(list(file.keys()))
X = list(file['X'])
y = list(file[ # -*- coding: utf-8 -*-
"""Compare all detection algorithms by plotting decision boundaries and
the number of decision boundaries.
"""
# Author: Yue Zhao
# License: BSD 2 clause
from __future__ import division
from __future__ import print_function
from scipy.spatial import distance
A = (0.003467119 ,0.01422762 ,0.0101960126)
B = (0.007279433 ,0.01651597 ,0.0045558849)
C = (0.005392258 ,0.02149997 ,0.0177409387)
D = (0.017898802 ,0.02790659 ,0.0006487222)
E = (0.013564214 ,0.neighbors = list(filter(lambda x: x % 2 != 0, myList))
optimal_k = neighbors[MSE.index(min(MSE))]
Community Discussions
Trending Discussions on pyod
QUESTION
How can I properly install PyCaret in AWS Glue?
Methods I tried:
--additional-python-modulesand--python-modules-installer-optionPython library patheasy_installas described in Use AWS Glue Python with NumPy and Pandas Python Packages
I am using Glue Version 2.0. I used --additional-python-modules and set to pycaret as shown in the picture.
Then I got this error log.
...ANSWER
Answered 2021-Jul-08 at 17:01I reached out to AWS support. Meghana was in charge of this case.
Here is the reply:
QUESTION
I have been working with PYOD library of python and have been using LOF, LOCI and CBLOF algorithms. Now I want to move to use Pyspark. I have done some RnD on pyspark MLlib. However, I have not found Implementation of LOF, LOCI or CBLOF in Pyspark. I want to know following:
- Do Pyspark has LOF, LOCI, CBLOF implementation in it?
- If not for question 1, How can I integrate PyOD library algorithms with pyspark. So i can do preprocessing of data using PySpark and train using algorithms implemented in PyOD.
Please share if there is some reference. Thank You
...ANSWER
Answered 2021-May-16 at 22:53Those algorithms are unfortunately not available on Spark MLlib, The only way you probably can use (not really effective though, even if it works) is via UDF https://spark.apache.org/docs/latest/api/python/reference/api/pyspark.sql.functions.udf.html?highlight=udf#pyspark.sql.functions.udf
QUESTION
My question lies specifically in knn method in Anomaly Detection module of pycaret library. Usually number of k neighbors has to be specified. Like for example in PyOD library.
How to learn what number of neighbors knn uses in pycaret library? Or does it have a default value?
...ANSWER
Answered 2021-Jan-06 at 03:17you can find the number of neighbors of the constructed knn model by printing it.
By default, n_neighbors=5, radius=1.0.
I run the knn demo code locally, with:
QUESTION
I want to apply a function to a DataFrame that returns several columns for each column in the original dataset. The apply function returns a DataFrame with columns and indexes but it still raises the error ValueError: If using all scalar values, you must pass an index.
I've tried to set the name of the output dataframe, to set the columns as a multiindex and set the index as a multiindex but it doesn't work.
Example: I have this input dataframe
...ANSWER
Answered 2020-Sep-01 at 12:37Do this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install pyod
You can use pyod like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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