Preguntas etiquetadas con orange

29
¿Por qué xgboost es mucho más rápido que sklearn GradientBoostingClassifier?

Estoy tratando de entrenar un modelo de aumento de gradiente en más de 50k ejemplos con 100 características numéricas. XGBClassifiermaneja 500 árboles en 43 segundos en mi máquina, mientras que GradientBoostingClassifiermaneja solo 10 árboles (!) en 1 minuto y 2 segundos :( No me molesté en tratar...

scikit-learn xgboost gbm data-mining classification data-cleaning machine-learning reinforcement-learning data-mining bigdata dataset nlp language-model stanford-nlp machine-learning neural-network deep-learning randomized-algorithms machine-learning beginner career xgboost loss-function neural-network software-recommendation naive-bayes-classifier classification scikit-learn feature-selection r random-forest cross-validation data-mining python scikit-learn random-forest churn python clustering k-means machine-learning nlp sentiment-analysis machine-learning programming python scikit-learn nltk gensim visualization data csv neural-network deep-learning descriptive-statistics machine-learning supervised-learning text-mining orange data parameter-estimation python pandas scraping r clustering k-means unsupervised-learning
16
agrandar el mapa de calor marino

Creo un corr()df a partir de un df original. El corr()DF salió 70 X 70 y es imposible de visualizar el mapa de calor ... sns.heatmap(df). Si trato de mostrar corr = df.corr(), la tabla no se ajusta a la pantalla y puedo ver todas las correlaciones. ¿Es una forma de imprimir todo dfsin importar su...

visualization pandas plotting machine-learning neural-network svm decision-trees svm efficiency python linear-regression machine-learning nlp topic-model lda named-entity-recognition naive-bayes-classifier association-rules fuzzy-logic kaggle deep-learning tensorflow inception classification feature-selection feature-engineering machine-learning scikit-learn tensorflow keras encoding nlp text-mining nlp rnn python neural-network feature-extraction machine-learning predictive-modeling python r linear-regression clustering r ggplot2 neural-network neural-network training python neural-network deep-learning rnn predictive-modeling databases sql programming distribution dataset cross-validation neural-network deep-learning rnn machine-learning machine-learning python deep-learning data-mining tensorflow visualization tools sql embeddings orange feature-extraction unsupervised-learning gan machine-learning python data-mining pandas machine-learning data-mining bigdata apache-spark apache-hadoop deep-learning python convnet keras aggregation clustering k-means r random-forest decision-trees reference-request visualization data pandas plotting neural-network keras rnn theano deep-learning tensorflow inception predictive-modeling deep-learning regression sentiment-analysis nlp encoding deep-learning python scikit-learn lda convnet keras predictive-modeling regression overfitting regression svm prediction machine-learning similarity word2vec information-retrieval word-embeddings neural-network deep-learning rnn
11
¿Hay algún buen modelo de lenguaje listo para usar para Python?

Estoy creando prototipos de una aplicación y necesito un modelo de lenguaje para calcular la perplejidad en algunas oraciones generadas. ¿Hay algún modelo de lenguaje entrenado en Python que pueda usar fácilmente? Algo simple como model = LanguageModel('en') p1 = model.perplexity('This is a well...

python nlp language-model r statistics linear-regression machine-learning classification random-forest xgboost python sampling data-mining orange predictive-modeling recommender-system statistics dimensionality-reduction pca machine-learning python deep-learning keras reinforcement-learning neural-network image-classification r dplyr deep-learning keras tensorflow lstm dropout machine-learning sampling categorical-data data-imputation machine-learning deep-learning machine-learning-model dropout deep-network pandas data-cleaning data-science-model aggregation python neural-network reinforcement-learning policy-gradients r dataframe dataset statistics prediction forecasting r k-means python scikit-learn labels python orange cloud-computing machine-learning neural-network deep-learning rnn recurrent-neural-net logistic-regression missing-data deep-learning autoencoder apache-hadoop time-series data preprocessing classification predictive-modeling time-series machine-learning python feature-selection autoencoder deep-learning keras tensorflow lstm word-embeddings predictive-modeling prediction machine-learning-model machine-learning classification binary theory machine-learning neural-network time-series lstm rnn neural-network deep-learning keras tensorflow convnet computer-vision