Bolt is a discriminative learning of linear predictors (e.g. SVM or Logistic Regression) that uses fast online learning algorithms to aimed large-scale, high-dimensional and sparse machine-learning problems. In particular, problems encountered in information retrieval and natural language processing.
Customer Reviews
Jaykishan B.
Advanced user of Bolt- Easy integration to spark.
- Dealing with arrays made easier.
- Good tool for data analysis.
- locally it is no good than numpy, instead using numpy is better if dealing locally with the data.
- It only supports spark, should also be implemented for other frameworks.
If you are dealing with data locally instead use numpy: https://docs.scipy.org/doc/ it is far better than bolt.
- Dealing with complicated data sets.
- Analyzing the data efficiently.
