gptkbp:instance_of
|
gptkb:API
|
gptkbp:can_be_used_in
|
cloud environments
local environments
|
gptkbp:developed_by
|
gptkb:Google
|
gptkbp:has
|
gptkb:Documentation
community support
|
gptkbp:has_feature
|
data preprocessing
cross-validation
model interpretability
batch predictions
online predictions
|
https://www.w3.org/2000/01/rdf-schema#label
|
Tensor Flow Decision Forests API
|
gptkbp:integrates_with
|
gptkb:Kubernetes
gptkb:Big_Query
gptkb:Docker
gptkb:weapons
|
gptkbp:is
|
open source
|
gptkbp:is_available_on
|
gptkb:Py_PI
gptkb:Git_Hub
|
gptkbp:is_based_on
|
ensemble methods
decision tree algorithms
|
gptkbp:is_compatible_with
|
gptkb:Tensor_Flow
gptkb:TFX
|
gptkbp:is_documented_in
|
tutorials
API reference
Git Hub README
Tensor Flow documentation
|
gptkbp:is_optimized_for
|
large datasets
real-time predictions
|
gptkbp:is_part_of
|
gptkb:Google_AI_Platform
gptkb:Google_Cloud_AI
|
gptkbp:is_used_by
|
gptkb:researchers
data scientists
machine learning engineers
|
gptkbp:offers
|
pre-trained models
|
gptkbp:part_of
|
Tensor Flow ecosystem
|
gptkbp:provides
|
visualization tools
model evaluation
model training
model serving
|
gptkbp:released_in
|
gptkb:2020
|
gptkbp:supports
|
gptkb:Biology
hyperparameter tuning
regression
feature importance
decision forests
|
gptkbp:used_for
|
gptkb:machine_learning
|
gptkbp:uses
|
gptkb:C++
Python libraries
|
gptkbp:written_in
|
gptkb:Python
|
gptkbp:bfsParent
|
gptkb:Tensor_Flow
|
gptkbp:bfsLayer
|
4
|