Ensemble model
Budget: $10 – $30 USD
I want to build ensemble model based in machine learning and deep learning to make classification for multi label class.
To build this models, I want to apply these steps:
1. I want to apply many word embedding techniques such as: word2vex, Glob, Bert, and feature extraction.
2. I want to use all of those embedding to train 3 base classifiers which are: Bilstm, BiGRU, and SMV
3. I want to pass the probability of each class label that we get it form base classifier to Meta classifier which is MLP do make the final prediction.
Please of you can do that in specific time, contact me, because I have a deadlines for this tasks.
Note: after apply any model, we need to save the probability value for each class to use it later to train meta classifier.
Note: I have the code for all deep learning techniques with word2vec and glove, so I can Pass it to help you.
Note: the dataset is small contain 10000 instances with 5 labels.
I prefer the code that write in pytorch.
To build this models, I want to apply these steps:
1. I want to apply many word embedding techniques such as: word2vex, Glob, Bert, and feature extraction.
2. I want to use all of those embedding to train 3 base classifiers which are: Bilstm, BiGRU, and SMV
3. I want to pass the probability of each class label that we get it form base classifier to Meta classifier which is MLP do make the final prediction.
Please of you can do that in specific time, contact me, because I have a deadlines for this tasks.
Note: after apply any model, we need to save the probability value for each class to use it later to train meta classifier.
Note: I have the code for all deep learning techniques with word2vec and glove, so I can Pass it to help you.
Note: the dataset is small contain 10000 instances with 5 labels.
I prefer the code that write in pytorch.