Models

All registered Model components in DashAI.

Name	Description
BagOfWordsTextClassificationModel	Text classification meta-model that combines a bag-of-words vectorizer with a DashAI tabular classifier.
DebertaV3Transformer	Pre-trained DeBERTa-v3 transformer for text classification.
DecisionTreeClassifier	Decision tree classifier that learns axis-aligned decision rules from data.
DistilBertTransformer	Pre-trained transformer DistilBERT allowing English text classification.
DummyClassifier	Baseline classifier that makes predictions ignoring the input features.
GradientBoostingR	Gradient boosting regressor that builds an ensemble of decision trees sequentially.
HistGradientBoostingClassifier	Histogram-based gradient boosting classifier for large datasets.
KNeighborsClassifier	K-nearest neighbours classifier that predicts the majority class among neighbours.
LinearRegression	Ordinary least-squares linear regression model.
LinearSVR	Support vector regression with a linear kernel for large datasets.
LogisticRegression	Logistic regression classifier with L1, L2, or Elastic-Net regularisation.
MLPRegression	Single hidden-layer MLP regressor implemented in PyTorch.
ModernBertTransformer	Pre-trained ModernBERT transformer for text classification.
NllbTransformer	NLLB model for configurable multilingual translation.
OpusMtEnESTransformer	Pre-trained transformer for english-spanish translation.
OpusMtEsENTransformer	Pre-trained transformer for spanish-english translation.
RandomForestClassifier	Random forest classifier that aggregates predictions from many decision trees.
RandomForestRegression	Random forest regressor that averages predictions from multiple decision trees.
RidgeRegression	Ridge regression with L2 regularisation to reduce coefficient magnitude.
SVC	Support vector machine classifier that maximises the margin between classes.