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Welcome to sensAI!
Models with Modular Data Pipelines
Notebook Tutorials
Introduction to sensAI: Supervised Learning with VectorModels
Neural Networks
API Reference
catboost
columngen
distance_metric
feature_importance
hyperopt
lightgbm
local_search
minizinc
multi_model
naive_bayes
nearest_neighbors
normalisation
sklearn_quantile
tensor_model
vector_model
vectoriser
xgboost
clustering
clustering_base
greedy_clustering
sklearn_clustering
data
dataset
io_data
data_transformation
dft
sklearn_transformer
value_transformation
ensemble
ensemble_base
models
evaluation
crossval
eval_util
evaluator
evaluator_clustering
metric_computation
eval_stats
eval_stats_base
eval_stats_classification
eval_stats_clustering
eval_stats_regression
feature_selection
rfe
featuregen
feature_generator
feature_generator_registry
geoanalytics
geo_clustering
geo_coords
local_coords
map_tiles
geopandas
coordinate_clustering
coordinate_clustering_ground_truth
coordinates
geometry
graph
pytorch_lightning
pl_models
sklearn
sklearn_base
sklearn_classification
sklearn_regression
tensorflow
tf_base
tf_mlp
torch
torch_base
torch_data
torch_enums
torch_eval_util
torch_modules
torch_opt
torchtext
torch_models
lstnet
mlp
residualffn
seq
tracking
azure_tracking
clearml_tracking
mlflow_tracking
tracking_base
util
aggregation
cache
cache_azure
cache_mysql
datastruct
deprecation
dtype
hash
helper
io
jscode
logging
math
multiprocessing
pandas
pickle
plot
profiling
sequences
string
test
time
typing
version
.rst
.pdf
eval_stats
eval_stats
#
eval_stats_clustering
eval_stats_classification
eval_stats_regression
eval_stats_base