mahmoudabdelrahman / ant Goto Github PK

Here is a list of tasks to be finished for the upcoming release:
Adding the following components:

Support Vector Machines

• Support Vector Classifier.
• Nu-Support Vector Classification.
• Linear Support Vector Classification.
• Epsilon-Support Vector Regression.
• Linear Support Vector Regression. -- Needs revision --
• Nu Support Vector Regression.
• Unsupervised Outlier Detection. [OneClassSVM]

Nearest Neighbors.

• NearestNeighbors (Unsupervised learner for implementing neighbor searches.)
• KNeighborsClassifier (Classifier implementing the k-nearest neighbors vote.)
• RadiusNeighborsClassifier (Classifier implementing a vote among neighbors within a given radius)
• KNeighborsRegressor ( Regression based on k-nearest neighbors. )
• RadiusNeighborsRegressor (Regression based on neighbors within a fixed radius)
• NearestCentroid (Nearest centroid classifier.)
• BallTree (BallTree for fast generalized N-point problems)
• KDTree (KDTree for fast generalized N-point problems)

• Naive Bayes
• Decision Trees
• Random Forests
• Neural Network
• Gaussian Processes
• AdaBoost

Hi @MahmoudAbdelRahman ,
Thanks for develope ANT such a great tool!
I eager to know and learn ANT for energy simulation with Honeybee integrate into ANT prediction results.
But I can't find any workflow or tutorial(videos or publication) or example files to learn how to use it and which components actually what is for?
Is it possible to do sensitivity analysis in ANT?
And, what is the limitation for ant, for example, compare with other machine learning such as ANN in Matlab or other?
I'm not expert in machine learning.
Glad to hear your comment.
Thanks in advance.