Hi Sema, You can save using pickle from the Python standard library, or using the joblib library which is a dependency of sklearn (so you have it already).
The sklearn docs show examples of saving models but it will work for your predict results too: http://scikit-learn.org/stable/modules/model_persistence.html You'd just do something like: import joblib ... # your code here ... birch_predict = brc.predict(X) filename = 'predictions' joblib.dump(birch_predict, filename) And you can get the values back into memory with joblib.load Hth --David (list lurker) On Aug 21, 2017 10:13, "Sema Atasever" <s.atase...@gmail.com> wrote: Dear scikit-learn developers, I have a text file where the columns represent the 22 features and the rows represent the amino asid . (you can see in the attachment) I want to apply hierarchical clustering to this database usign *sklearn.cluster.Birch algorithm.* There are too many prediction results and it is not possible to see them on the screen. How can i write the birch prediction results to the file? I would appreciate if you could advise on some methods. Thanks. *Birch Codes:* from sklearn.cluster import Birch import numpy as np X=np.loadtxt(open("C:\class1.txt", "rb"), delimiter=";") brc = Birch(branching_factor=50, n_clusters=None, threshold=0.5,compute_labels=True,copy=True) brc.fit(X) centroids = brc.subcluster_centers_ labels = brc.subcluster_labels_ n_clusters = np.unique(labels).size brc.predict(X) print("\n brc.predict(X)") print(brc.predict(X)) _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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