Models

All registered Model components in DashAI.

Name	Description
AdaBoostClassifier	AdaBoost classifier that adapts to misclassified samples iteratively.
AdaBoostRegression	AdaBoost regressor that focuses on samples with high prediction errors.
AlbertTransformer	Pre-trained ALBERT model for efficient English text classification.
BagOfWordsTextClassificationModel	Text classification meta-model that combines a bag-of-words vectorizer with a DashAI tabular classifier.
BaggingClassifier	Bagging classifier that aggregates predictions from bootstrap subsets.
BayesianRidgeRegression	Bayesian Ridge regression with automatic regularisation estimation.
BertTransformer	Pre-trained BERT model for English text classification.
BertinTransformer	Pre-trained BERTIN model (Spanish RoBERTa) for Spanish text classification.
BetoTransformer	Pre-trained BETO model for Spanish text classification.
DebertaV3Transformer	Pre-trained DeBERTa-v3 transformer for text classification.
DecisionTreeClassifier	Decision tree classifier that learns axis-aligned decision rules from data.
DecisionTreeRegression	Decision tree regressor that recursively partitions the feature space.
DistilBertTransformer	Pre-trained transformer DistilBERT allowing English text classification.
DummyClassifier	Baseline classifier that makes predictions ignoring the input features.
ElasticNetRegression	Elastic Net regression combining L1 and L2 penalties.
ElectraTransformer	Pre-trained ELECTRA model for efficient English text classification.
ExtraTreesClassifier	Extra-Trees classifier using fully randomised decision tree splits.
ExtraTreesRegression	Extra-Trees regressor using fully randomised decision tree splits.
GaussianNB	Gaussian Naïve Bayes classifier based on Bayes' theorem.
GradientBoostingClassifier	Gradient boosting classifier that builds an ensemble of trees sequentially.
GradientBoostingR	Gradient boosting regressor that builds an ensemble of decision trees sequentially.
HistGradientBoostingClassifier	Histogram-based gradient boosting classifier for large datasets.
HistGradientBoostingRegression	Histogram-based gradient boosting regressor for large datasets.
KNeighborsClassifier	K-nearest neighbours classifier that predicts the majority class among neighbours.
KNeighborsRegression	K-Nearest Neighbours regressor that averages the targets of nearest samples.
LassoRegression	Lasso regression with L1 regularisation for sparse coefficient solutions.
LinearRegression	Ordinary least-squares linear regression model.
LinearSVCClassifier	Linear SVC classifier with Platt-scaling calibration for class probabilities.
LinearSVR	Support vector regression with a linear kernel for large datasets.
LogisticRegression	Logistic regression classifier with L1, L2, or Elastic-Net regularisation.
M2M100Transformer	M2M100 multilingual seq2seq model for configurable language-pair translation.
MLPClassifier	Multi-layer Perceptron classifier trained with backpropagation.
MLPRegression	Single hidden-layer MLP regressor implemented in PyTorch.
MiniLMTransformer	Pre-trained MiniLM model for lightweight English text classification.
ModernBertTransformer	Pre-trained ModernBERT transformer for text classification.
MultilingualBertTransformer	Pre-trained Multilingual BERT for cross-lingual text classification.
NllbTransformer	Pre-trained transformer for configurable multilingual translation.
OpusMtEnDeTransformer	Pre-trained transformer for English-to-German translation.
OpusMtEnESTransformer	Pre-trained transformer for English-to-Spanish translation.
OpusMtEnFrTransformer	Pre-trained transformer for English-to-French translation.
OpusMtEnPtTransformer	Pre-trained transformer for English-to-Portuguese translation.
OpusMtEsENTransformer	Pre-trained transformer for Spanish-to-English translation.
OpusMtFrEnTransformer	Pre-trained transformer for French-to-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.
RobertaTransformer	Pre-trained RoBERTa model for English text classification.
SGDClassifier	SGD classifier with probability calibration for consistent predict_proba output.
SVC	Support vector machine classifier that maximises the margin between classes.
SVR	Support Vector Regressor using kernel-based function estimation.
T5SmallTransformer	T5-small seq2seq model for English-to-{German, French, Romanian} translation.
TfIdfLogRegTextClassificationModel	TF-IDF vectorizer combined with Logistic Regression for text classification.
XlmRobertaTransformer	Pre-trained XLM-RoBERTa model for multilingual text classification.
XlnetTransformer	Pre-trained XLNet model for English text classification.