Uses of Class
org.bytedeco.javacpp.tensorflow.FixedUnigramCandidateSampler.Attrs

Packages that use tensorflow.FixedUnigramCandidateSampler.Attrs

Package	Description
org.bytedeco.javacpp

Uses of tensorflow.FixedUnigramCandidateSampler.Attrs in org.bytedeco.javacpp

Methods in org.bytedeco.javacpp that return tensorflow.FixedUnigramCandidateSampler.Attrs

Modifier and Type	Method and Description
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.distortion_(float distortion_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Distortion(float x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Distortion(float x) The distortion is used to skew the unigram probability distribution.
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.num_reserved_ids_(long num_reserved_ids_)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.num_shards_(long num_shards_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.NumReservedIds(long x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.NumReservedIds(long x) Optionally some reserved IDs can be added in the range [0, ..., num_reserved_ids) by the users.
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.NumShards(long x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.NumShards(long x) A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.position(long position)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.seed_(long seed_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Seed(long x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Seed(long x) If either seed or seed2 are set to be non-zero, the random number generator is seeded by the given seed.
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.seed2_(long seed2_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Seed2(long x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Seed2(long x) An second seed to avoid seed collision.
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.shard_(long shard_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Shard(long x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Shard(long x) A sampler can be used to sample from a subset of the original range in order to speed up the whole computation through parallelism.
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.unigrams_(FloatPointer unigrams_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Unigrams(float... x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Unigrams(float... x)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Unigrams(FloatBuffer x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Unigrams(FloatBuffer x)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Unigrams(FloatPointer x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.Unigrams(FloatPointer x) A list of unigram counts or probabilities, one per ID in sequential order.
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.vocab_file_(BytePointer vocab_file_)
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.VocabFile(BytePointer x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.VocabFile(BytePointer x) Each valid line in this file (which should have a CSV-like format) corresponds to a valid word ID.
static tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.VocabFile(String x)
tensorflow.FixedUnigramCandidateSampler.Attrs	tensorflow.FixedUnigramCandidateSampler.Attrs.VocabFile(String x)

Constructors in org.bytedeco.javacpp with parameters of type tensorflow.FixedUnigramCandidateSampler.Attrs

Constructor and Description
FixedUnigramCandidateSampler(tensorflow.Scope scope, tensorflow.Input true_classes, long num_true, long num_sampled, boolean unique, long range_max, tensorflow.FixedUnigramCandidateSampler.Attrs attrs)