What do you want to save?
Add Code snippet
New code examples
-
Python 2022-02-18 03:05:07
cannot create group in read-only mode. keras
from keras.models import load_model from keras.models import model_from_json import json with open('model_in_json.json','r') as f: model_json = json.load(f) model = model_from_json(model_json) model.load_weights('model_weights.h5') Add solution -
Python 2022-02-01 23:21:02
Gradient-Boosted Trees (GBTs) learning algorithm for regression
# Gradient-Boosted Trees (GBTs) learning algorithm for regression from numpy import allclose from pyspark.ml.linalg import Vectors df = spark.createDataFrame([ (1.0, Vectors.dense(1.0)), (0.0, Vectors.sparse(1, [], []))], ["label", "fe... Add solution -
Python 2022-01-31 22:46:50
Word2Vec trains a model of Map(String, Vector)
# Word2Vec trains a model of Map(String, Vector) sent = ("a b " * 100 + "a c " * 10).split(" ") doc = spark.createDataFrame([(sent,), (sent,)], ["sentence"]) word2Vec = Word2Vec(vectorSize=5, seed=42, inputCol=&quo... Add solution -
Python 2021-10-12 19:15:06
Latent Dirichlet Allocation (LDA), a topic model designed for text documents
# Latent Dirichlet Allocation (LDA), a topic model designed for text documents from pyspark.ml.linalg import Vectors, SparseVector from pyspark.ml.clustering import LDA df = spark.createDataFrame([[1, Vectors.dense([0.0, 1.0])], ... Add solution -
Python 2021-10-12 17:12:04
Gradient-Boosted Trees (GBTs) learning algorithm for classification
# Gradient-Boosted Trees (GBTs) learning algorithm for classification from numpy import allclose from pyspark.ml.linalg import Vectors from pyspark.ml.feature import StringIndexer df = spark.createDataFrame([ (1.0, Vectors.dense(1.0)), (0.0, Vectors.... Add solution -
Other 2021-10-08 14:47:07
load saved model pyspark
print(spark.version) 2.4.3 # fit model cvModel = cv_grid.fit(train_df) # save best model to specified path mPath = "/path/to/model/folder" cvModel.bestModel.write().overwrite().save(mPath) # read pickled model via pipeline api from pyspark.m... Add solution -
Python 2021-09-30 16:21:05
Word2Vec trains a model of Map
# Word2Vec trains a model of Map sent = ("a b " * 100 + "a c " * 10).split(" ") doc = spark.createDataFrame([(sent,), (sent,)], ["sentence"]) word2Vec = Word2Vec(vectorSize=5, seed=42, inputCol="sentence"... Add solution -
Python 2021-09-17 18:24:02
Decision tree learning algorithm for classification
# Decision tree learning algorithm for classification from pyspark.ml.linalg import Vectors from pyspark.ml.feature import StringIndexer df = spark.createDataFrame([ (1.0, Vectors.dense(1.0)), (0.0, Vectors.sparse(1, [], []))], ["label", &q... Add solution -
Python 2021-09-12 14:16:02
PCA trains a model to project vectors to a lower dimensional space of the top k principal components
# PCA trains a model to project vectors to a lower dimensional space of the top k principal components from pyspark.ml.linalg import Vectors data = [(Vectors.sparse(5, [(1, 1.0), (3, 7.0)]),), (Vectors.dense([2.0, 0.0, 3.0, 4.0, 5.0]),), ... Add solution
Best helpers
Ranking is empty