How to use the flair.hyperparameter.parameter.Parameter function in flair
To help you get started, we’ve selected a few flair examples, based on popular ways it is used in public projects.
Secure your code as it's written. Use Snyk Code to scan source code in minutes - no build needed - and fix issues immediately.
flairNLP / flair / flair / hyperparameter / parameter.py View on Github 
BETAS = "betas"
EPS = "eps"
TRAINING_PARAMETERS = [
Parameter.LEARNING_RATE.value,
Parameter.MINI_BATCH_SIZE.value,
Parameter.ANNEAL_FACTOR.value,
Parameter.PATIENCE.value,
Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.REPROJECT_WORDS.value,
Parameter.REPROJECT_WORD_DIMENSION.value,
Parameter.BIDIRECTIONAL.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]Parameter.ANNEAL_FACTOR.value,
Parameter.PATIENCE.value,
Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.REPROJECT_WORDS.value,
Parameter.REPROJECT_WORD_DIMENSION.value,
Parameter.BIDIRECTIONAL.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.REPROJECT_WORDS.value,
Parameter.REPROJECT_WORD_DIMENSION.value,
Parameter.BIDIRECTIONAL.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]AMSGRAD = "amsgrad"
BETAS = "betas"
EPS = "eps"
TRAINING_PARAMETERS = [
Parameter.LEARNING_RATE.value,
Parameter.MINI_BATCH_SIZE.value,
Parameter.ANNEAL_FACTOR.value,
Parameter.PATIENCE.value,
Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.REPROJECT_WORDS.value,
Parameter.REPROJECT_WORD_DIMENSION.value,
Parameter.BIDIRECTIONAL.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]OPTIMIZER = "optimizer"
MOMENTUM = "momentum"
DAMPENING = "dampening"
WEIGHT_DECAY = "weight_decay"
NESTEROV = "nesterov"
AMSGRAD = "amsgrad"
BETAS = "betas"
EPS = "eps"
TRAINING_PARAMETERS = [
Parameter.LEARNING_RATE.value,
Parameter.MINI_BATCH_SIZE.value,
Parameter.ANNEAL_FACTOR.value,
Parameter.PATIENCE.value,
Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,PATIENCE = "patience"
REPROJECT_WORDS = "reproject_words"
REPROJECT_WORD_DIMENSION = "reproject_words_dimension"
BIDIRECTIONAL = "bidirectional"
OPTIMIZER = "optimizer"
MOMENTUM = "momentum"
DAMPENING = "dampening"
WEIGHT_DECAY = "weight_decay"
NESTEROV = "nesterov"
AMSGRAD = "amsgrad"
BETAS = "betas"
EPS = "eps"
TRAINING_PARAMETERS = [
Parameter.LEARNING_RATE.value,
Parameter.MINI_BATCH_SIZE.value,
Parameter.ANNEAL_FACTOR.value,
Parameter.PATIENCE.value,
Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]
MODEL_TRAINER_PARAMETERS = [Parameter.OPTIMIZER.value]
DOCUMENT_EMBEDDING_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.REPROJECT_WORDS.value,
Parameter.REPROJECT_WORD_DIMENSION.value,
Parameter.BIDIRECTIONAL.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]DAMPENING = "dampening"
WEIGHT_DECAY = "weight_decay"
NESTEROV = "nesterov"
AMSGRAD = "amsgrad"
BETAS = "betas"
EPS = "eps"
TRAINING_PARAMETERS = [
Parameter.LEARNING_RATE.value,
Parameter.MINI_BATCH_SIZE.value,
Parameter.ANNEAL_FACTOR.value,
Parameter.PATIENCE.value,
Parameter.ANNEAL_WITH_RESTARTS.value,
Parameter.MOMENTUM.value,
Parameter.DAMPENING.value,
Parameter.WEIGHT_DECAY.value,
Parameter.NESTEROV.value,
Parameter.AMSGRAD.value,
Parameter.BETAS.value,
Parameter.EPS.value,
]
SEQUENCE_TAGGER_PARAMETERS = [
Parameter.EMBEDDINGS.value,
Parameter.HIDDEN_SIZE.value,
Parameter.RNN_LAYERS.value,
Parameter.USE_CRF.value,
Parameter.USE_RNN.value,
Parameter.DROPOUT.value,
Parameter.LOCKED_DROPOUT.value,
Parameter.WORD_DROPOUT.value,
]flair
A very simple framework for state-of-the-art NLP
Package Health Score
90 / 100Popular flair functions
- flair.data.Corpus
- flair.data.Dictionary
- flair.data.Label
- flair.data.Sentence
- flair.data.Token
- flair.data_fetcher.NLPTask
- flair.data_fetcher.NLPTaskDataFetcher
- flair.datasets.ClassificationCorpus
- flair.datasets.ColumnCorpus
- flair.datasets.UniversalDependenciesCorpus
- flair.device
- flair.embeddings.DocumentRNNEmbeddings
- flair.embeddings.FlairEmbeddings
- flair.embeddings.TokenEmbeddings
- flair.embeddings.WordEmbeddings
- flair.file_utils.cached_path
- flair.hyperparameter.parameter.Parameter
- flair.models.SequenceTagger
- flair.models.SequenceTagger.load
- flair.trainers.ModelTrainer