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Python library for machine learning
Free and open-source software portal scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library
Scikit-learn
Clustering algorithm minimizing the sum of distances to k representatives
computational efficiency. The scikit-learn-extra package includes a KMedoids class that implements k-medoids clustering with a Scikit-learn compatible interface
K-medoids
Python library for parallel computing
the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy. It also exposes low-level APIs that help programmers run custom
Dask_(software)
Machine learning library for data streams in Python
Cython for performance. scikit-multiflow integrates with other Python libraries such as Matplotlib for plotting, scikit-learn for incremental learning
Scikit-multiflow
Tree-based ensemble machine learning methods
Regression Trees by Leo Breiman and is the default implementation in scikit learn and R. The definition is: unormalized average importance ( x ) = 1 n
Random_forest
Predictive chemical model
Scikit-Mol brings cheminformatics to Scikit-Learn, doi:10.26434/chemrxiv-2023-fzqwd, retrieved 2025-01-17 Adamczyk, J., & Ludynia, P. (2024). Scikit-fingerprints:
Quantitative structure–activity relationship
Quantitative_structure–activity_relationship
Statistical estimator
glasso, GraphicalLasso() class in the scikit-learn Python library, or the skggm Python package (similar to scikit-learn). Graphical model Lasso (statistics)
Graphical_lasso
Image processing library for Python
the various scikits, scikit-image as well as scikit-learn were described as "well-maintained and popular" in November 2012[update]. Scikit-image has also
Scikit-image
Programming language used in many domains
Python's use in scientific research. Machine learning – Libraries like scikit-learn and TensorFlow have made machine learning more accessible to developers
General-purpose programming language
General-purpose_programming_language
Set of methods for supervised statistical learning
machine-learning toolkits, including LIBSVM, MATLAB, SAS, SVMlight, kernlab, scikit-learn, Shogun, Weka, Shark, JKernelMachines, OpenCV and others. Preprocessing
Support_vector_machine
Software developer and data scientist
Cournapeau is a french data scientist. He is the original author of the scikit-learn package, an open source machine learning library in the Python programming
David_Cournapeau
Python library for data analysis
Free and open-source software portal matplotlib Dask SciPy Polars dplyr scikit-learn List of numerical analysis software List of data science software "Release
Pandas_(software)
Microsoft open source gradient boosting framework for machine learning
called an exclusive feature bundle. TabPFN ML.NET Data binning CatBoost scikit-learn Comparison of machine learning software "Guolin Ke". GitHub. "microsoft/LightGBM"
LightGBM
Algorithm for supervised learning of binary classifiers
multilayer perceptrons Applying a perceptron model using scikit-learn - https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.Perceptron
Perceptron
Subset of artificial intelligence
Toolkit MindSpore ML.NET mlpack MXNet OpenNN Orange ROOT (TMVA with ROOT) scikit-learn Shogun TensorFlow Theano Torch / PyTorch / PyTorch Lightning Vowpal Wabbit
Machine_learning
Plot of machine learning model performance over time or experience
the original on 2013-07-15. scikit-learn developers. "Validation curves: plotting scores to evaluate models — scikit-learn 0.20.2 documentation". Retrieved
Learning curve (machine learning)
Learning_curve_(machine_learning)
Machine learning programming library
source machine learning toolkits, including GATE, KNIME, Orange and scikit-learn. Bindings and ports exist for programming languages such as Java, MATLAB
LIBSVM
Statistical model
Gaussian processes". arXiv:1703.00787 [stat.ML]. The documentation for scikit-learn also has similar examples. Liu, W.; Principe, J.C.; Haykin, S. (2010)
Gaussian_process
Suite of machine learning software written in Java
visualization based on scikit-learn. RapidMiner is a commercial machine learning framework implemented in Java which integrates Weka. scikit-learn is a popular
Weka_(software)
machine learning, data mining, data visualization, and data analysis Scikit-learn — library built on top of NumPy, SciPy, and matplotlib Shogun — C++ library
Lists of open-source artificial intelligence software
Lists_of_open-source_artificial_intelligence_software
Loss function used in robust regression
given earlier. Géron, Aurélien (2023). Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow (3rd ed.). O'Reily (published October 20, 2023).
Huber_loss
Information-theoretic measure
confusing) or simply log loss." "sklearn.metrics.log_loss". API Reference — scikit-learn 1.7.1 documentation. Noel, Mathew; Banerjee, Arindam; D, Geraldine Bessie
Cross-entropy
Python distribution
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
Anaconda (Python distribution)
Anaconda_(Python_distribution)
Python web framework
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
Flask_(web_framework)
Gradient boosting machine learning library
use in their respective communities. It has now been integrated with scikit-learn for Python users and with the caret package for R users. It can also
XGBoost
Density-based data clustering algorithm
implementations of DBSCAN*, HDBSCAN*, OPTICS, OPTICSXi, and other related methods. scikit-learn includes a Python implementation of DBSCAN for arbitrary Minkowski metrics
DBSCAN
Statistical sampling techniques
re-sampling techniques are implemented in the imbalanced-learn package compatible with the scikit-learn Python library. The re-sampling techniques are implemented
Oversampling and undersampling in data analysis
Oversampling_and_undersampling_in_data_analysis
Estimate of the importance of a word in a document
tf–idf and related definitions as used in Lucene TfidfTransformer in scikit-learn Text to Matrix Generator (TMG) MATLAB toolbox that can be used for various
Tf–idf
Cross-validation technique for time series and financial data
University Press. ISBN 978-1-108-79289-9 "KFold CV Illustration by Scikit-Learn". Scikit-Learn. 20 May 2025. López de Prado, M. (2018). Advances in Financial
Purged_cross-validation
Clustering evaluation metric
the maximum CH index is chosen as the optimal number of clusters. The scikit-learn Python library provides an implementation of this metric in the sklearn
Calinski–Harabasz_index
Technique for dimensionality reduction
implements t-SNE in R. ELKI contains tSNE, also with Barnes-Hut approximation scikit-learn, a popular machine learning library in Python implements t-SNE with both
T-distributed stochastic neighbor embedding
T-distributed_stochastic_neighbor_embedding
Statistical method
PMID 16473874. "sklearn.decomposition.FactorAnalysis — scikit-learn 0.23.2 documentation". scikit-learn.org. MacCallum, Robert (June 1983). "A comparison of
Factor_analysis
Measures of observational error
"3.3. Metrics and scoring: quantifying the quality of predictions". scikit-learn. Retrieved 17 May 2022. Acken, John M. (1997). "none". Encyclopedia of
Accuracy_and_precision
Metric for evaluating clustering algorithms
separation of clusters, the degree to which elements belong to classes. The scikit-learn Python open source library provides an implementation of this metric
Davies–Bouldin_index
RapidMiner 2006 No Cross-platform Java GUI Yes Yes Yes No No Yes Scikit-learn scikit-learn developers 2007 Yes Cross-platform Python, Cython Python Yes Yes
Comparison of machine learning software
Comparison_of_machine_learning_software
Machine learning algorithm
CART implementations such as rpart, party and randomForest packages), scikit-learn (a free and open-source machine learning library for the Python programming
Decision_tree_learning
Python library for numerical programming
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
NumPy
Open-source data analysis software
open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform
Orange_(software)
Concept in statistics
gaussian_kde), Statsmodels (KDEUnivariate and KDEMultivariate), and scikit-learn (KernelDensity) (see comparison). KDEpy supports weighted data and its
Kernel_density_estimation
Cloud-based Jupyter Notebook environment
popular machine learning libraries such as TensorFlow, PyTorch, and scikit-learn Idle timeouts and session limits Limited access to high-performance hardware
Google_Colab
Supervised learning of a similarity function
(PDF). J. Mach. Learn. Research. "Scikit-learn-contrib/Metric-learn". GitHub. Vazelhes; Carey; Tang; Vauquier; Bellet (2020). "metric-learn: Metric Learning
Similarity_learning
Type of feedforward neural network
Retrieved 2022-03-31. Géron, Aurélien (2019). Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow. Sebastopol, CA: O'Reilly Media. ISBN 978-1-492-03264-9
Convolutional_neural_network
Type of kernel induced by artificial neural networks
addition, there exists a scikit-learn compatible implementation of the infinite width NTK for Gaussian processes called scikit-ntk. When optimizing the
Neural_tangent_kernel
scientific and mathematical analysis, Pandas for analyzing table data, Scikit-learn for various machine learning tasks, NLTK and spaCy for natural language
List of programming languages for artificial intelligence
List_of_programming_languages_for_artificial_intelligence
mathematics and data analysis environment SciPy – scientific computing library scikit-learn – Python machine learning library TensorFlow – machine learning framework
List of free and open-source software packages
List_of_free_and_open-source_software_packages
a high-level interface for PyTorch. QLattice — symbolic regression. scikit-learn — library for machine learning. Spark MLlib — distributed machine learning
List_of_Python_software
Process of analyzing large data sets
computing, data mining, and graphics. It is part of the GNU Project. scikit-learn: An open-source machine learning library for the Python programming language;
Data_mining
Statistical technique
relies on logistic regression (see the quickstart tutorial), or any other scikit-learn classification model. R: The ipw CRAN package: Estimate Inverse Probability
Inverse_probability_weighting
Algorithm for anomaly detection
Anomaly Detection by Sahand Hariri Python implementation with examples in scikit-learn. Anomaly detection – Approach in data analysis Apache Spark – Open-source
Isolation_forest
a comparison of deployable binary sizes between mlpack, PyTorch, and scikit-learn. To ensure consistency, the same application, along with all its dependencies
Mlpack
Multidimensional search tree for points in k dimensional space
implementations of k-d tree based nearest neighbor lookup algorithms. scikit-learn, a Python library for machine learning, contains implementations of k-d
K-d_tree
Software library for data analysis
Python package for applying parallel computation using NumPy, pandas, and scikit-learn, and is used for datasets that are larger than what can fit in memory
Polars_(software)
Overview of and topical guide to machine learning
MLJ.jl – A machine learning framework for Julia Deeplearning4j Theano scikit-learn Keras AdaBoost Almeida–Pineda recurrent backpropagation ALOPEX Backpropagation
Outline_of_machine_learning
Programming language
Significant parts of the scientific computing libraries SciPy, pandas and scikit-learn are written in Cython. Cython's domain is not limited to just numerical
Cython
Paradigm in machine learning
semi-supervised learning. Semi-Supervised Learning Software Semi-Supervised learning — scikit-learn documentation Semi-supervised learning in scikit-learn.
Weak_supervision
Ensemble learning method
classifiers Cross-validation List of datasets for machine learning research scikit-learn, an open source machine learning library for Python Orange, a free data
Boosting_(machine_learning)
Probability distribution with more than one mode
mixed distributions with the PROC FREQ procedure. In Python, the package Scikit-learn contains a tool for mixture modeling Overdispersion Mixture model - Gaussian
Multimodal_distribution
Statistical regression method
parameters, a method claimed to result in improved prediction accuracy. scikit-learn includes linear regression and logistic regression with elastic net regularization
Elastic_net_regularization
Extracting features from raw data for machine learning
is an extension for multivariate, sequential time series data to the scikit-learn Python library. tsfel is a Python package for feature extraction on time
Feature_engineering
Technique in statistics
density related classes), the package kernel_regression as an extension of scikit-learn (inefficient memory-wise, useful only for small datasets) R: the function
Kernel_regression
Type of numerical analysis
Computing. Retrieved 29 October 2021. Pedregosa, Fabian; et al. (2011). "Scikit-learn:Machine learning in Python". Journal of Machine Learning Research. 12:
Isotonic_regression
Method of data analysis
dimRed, and FactoMineR. SAS – Proprietary software; for example, see. scikit-learn – Python library for machine learning which contains PCA, Probabilistic
Principal_component_analysis
Way of inferring information from cross-covariance matrices
canonical correlation analysis. SAS as proc cancorr Python in the library scikit-learn, as cross decomposition and in statsmodels, as CanCorr. The CCA-Zoo library
Canonical_correlation
and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) Perl Data Language – Scientific computing with Perl Ploticus – software
List_of_statistical_software
Matrix in which most of the elements are zero
Library for solution of large scale linear systems and sparse matrices scikit-learn, a Python library for machine learning, provides support for sparse matrices
Sparse_matrix
Statistical method in data analysis
hierarchical clustering in Python, including the efficient SLINK algorithm. scikit-learn also implements hierarchical clustering in Python. Weka includes hierarchical
Hierarchical_clustering
Computational model used in machine learning
feedback to teach the NAS network. Efforts include AutoML and AutoKeras. scikit-learn library provides functions to help with building a deep network from
Neural network (machine learning)
Neural_network_(machine_learning)
Statistical concept
data mining applications in Python sklearn.mixture – A module from the scikit-learn Python library for learning Gaussian Mixture Models (and sampling from
Mixture_model
Neural network that learns efficient data encoding in an unsupervised manner
Heidelberg. Géron, Aurélien (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. Canada: O’Reilly Media, Inc. pp. 739–740. Liou
Autoencoder
Machine learning software library
Géron, Aurélien (October 15, 2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (2nd ed.). O'Reilly Media. p. 856. ISBN 9781492032632
TensorFlow
Vectorizing features using a hash function
com. Retrieved 2014-02-13. "4.1. Feature extraction — scikit-learn 0.14 documentation". Scikit-learn.org. Retrieved 2014-02-13. "sofia-ml - Suite of Fast
Feature_hashing
Vector quantization algorithm minimizing the sum of squared deviations
clustering on the dataset. R contains three k-means variations. SciPy and scikit-learn contain multiple k-means implementations. Spark MLlib implements a distributed
K-means_clustering
Open-source framework for researchers
benchmarking of complex computational systems unify predictive analytics (scikit-learn, R, DNN) enable reproducible and interactive papers ARM uses CK to accelerate
Collective Knowledge (software)
Collective_Knowledge_(software)
General-purpose programming language
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
Python_(programming_language)
Method for finding largest (or smallest) eigenvalues
"Sklearn.cluster.SpectralClustering — scikit-learn 0.22.1 documentation". "Sklearn.manifold.spectral_embedding — scikit-learn 0.22.1 documentation". Naumov,
LOBPCG
Statistics dataset
set is included in R base and Python in the machine learning library scikit-learn, so that users can access it without having to find a source for it.
Iris_flower_data_set
Designer Neural Network Intelligence oneAPI OpenNN PlaidML PyTorch QLattice Scikit-learn Shogun (toolbox) TensorFlow Theano Torch Tree-based pipeline optimization
List_of_data_science_software
Matrix representation of a graph
number of edges from i to j (including loops). SciPy NetworkX Julia scikit-learn Spectral Clustering PyGSP: Graph Signal Processing in Python megaman:
Laplacian_matrix
Subdivision of vertices into disjoint sets
hypergraphs. An alternative approach originated from and implemented, e.g., in scikit-learn is spectral clustering with the partitioning determined from eigenvectors
Graph_partition
SARS-CoV-2 lineage nomenclature
assignment, has been termed 'pangoLEARN'. The current version of pangoLEARN uses a classification tree, based on the scikit-learn implementation of a decision
Phylogenetic Assignment of Named Global Outbreak Lineages
Phylogenetic_Assignment_of_Named_Global_Outbreak_Lineages
Statistical method
for the Lasso problem, often outperforming traditional solvers like scikit-learn by up to 100 times in certain scenarios, particularly with high-dimensional
Lasso_(statistics)
French research institution for computer science
an open-source Smalltalk derived from Squeak. Rocq, a proof assistant scikit-learn, a machine learning software package Scilab, a numerical computation
French Institute for Research in Computer Science and Automation
French_Institute_for_Research_in_Computer_Science_and_Automation
engineering – NumPy, Pandas, SciPy, SimPy, Matplotlib, PyDy, OpenCV, OpenMDAO, Scikit-learn, SymPy,TensorFlow, PyTorch Product lifecycle Vehicle dynamics Awesome-Automotive
List of automotive engineering software
List_of_automotive_engineering_software
Regression algorithm
regression is implemented in R via the lars package, in Python with the scikit-learn package, and in SAS via the GLMSELECT procedure. High-dimensional statistics
Least-angle_regression
Classification problem where multiple labels may be assigned to each instance
packages, both based on Weka. The scikit-learn Python package implements some multi-labels algorithms and metrics. The scikit-multilearn Python package specifically
Multi-label_classification
Open-source Python library for scientific computing
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
SciPy
Tuning parameter (hyperparameter) in optimization
Aurélien (2017). "Gradient Descent". Hands-On Machine Learning with Scikit-Learn and TensorFlow. O'Reilly. pp. 113–124. ISBN 978-1-4919-6229-9. Plagianakos
Learning_rate
Area of machine learning
software. Additional tools are machine learning libraries for Python, like scikit-learn. Some major rule induction paradigms are: Association rule learning algorithms
Rule_induction
Statistics and machine learning technique
stacking for Gaussian process models include the spStack package. Python: scikit-learn, a package for machine learning in Python offers packages for ensemble
Ensemble_learning
Deep learning model structure
bias vector. Géron, Aurélien (2019). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: concepts, tools, and techniques to build intelligent
Layer_(deep_learning)
Statistical method for fitting a line
estimator has also been implemented in Python as part of the SciPy and scikit-learn libraries. Theil–Sen estimation has been applied to astronomy due to
Theil–Sen_estimator
Clustering methods
spectral clustering is available in large open source projects like scikit-learn using LOBPCG with multigrid preconditioning or ARPACK, MLlib for pseudo-eigenvector
Spectral_clustering
Statistical measure of association for two binary variables
Page. Retrieved 28 December 2016. "Matthew Correlation Coefficient". scikit-learn.org. Stoica P and Babu P (2024), Pearson–Matthews correlation coefficients
Phi_coefficient
Signal processing computational method
be applied through the following software: SAS PROC ICA R ICA package scikit-learn Python implementation sklearn.decomposition.FastICA mlpack C++ implementation
Independent component analysis
Independent_component_analysis
Python web framework
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
Django_(web_framework)
Collection of open-source Python software tools for computational biology
Qiskit QLattice RDKit RPyC Sage Manifolds SageMath ScientificPython scikit-learn scikit-multiflow SciPy SimpleITK spaCy Sphinx SQLAlchemy SQLObject Storm
Biopython
Python GPL-2.0 Sage Manifolds Python GPL-3.0 scikit-image Python BSD-3 scikit-learn Python BSD-3 scikit-multiflow Python BSD-3 SciPy Python BSD-3 SimpleITK
List of open-source code libraries
List_of_open-source_code_libraries
Mathematical technique
implementation via cvMeanShift Method Orfeo toolbox. A C++ implementation. scikit-learn Numpy/Python implementation uses ball tree for efficient neighboring
Mean_shift
Family of optimization algorithms
Stochastic approximation "sklearn.linear_model.LogisticRegression". Scikit Learn. Retrieved Feb 26, 2022. Lan, Guanghui; Zhou, Yi (2018). "An optimal
Stochastic_variance_reduction
Numerical programming library for the Python programming language
dtype=float32) spaCy XGBoost turboSETI (Berkeley SETI) NVIDIA RAPIDS einops scikit-learn MONAI Chainer Free software portal Array programming List of numerical-analysis
CuPy
SCIKIT LEARN
SCIKIT LEARN
Boy/Male
Hindu, Indian, Marathi
Remembered
Boy/Male
Arabic, Australian, British, Hindu, Indian, Punjabi, Sikh
Winner of the Sound
Boy/Male
Christian, Indian
Astonishing
Boy/Male
Hindu
Created by Vilas
Boy/Male
Indian, Jain
Right Knowledge; Self Realization; Self Illumination; Satisfied
Male
English
English unisex name derived from the vocabulary word, "spirit," from Latin spiritus, SPIRIT means "breath."
Boy/Male
Hindu
Sea shore. from kinnara, Which is a Bengali word meaning bank/shore
Boy/Male
Bengali, Indian
Sea Sand
Boy/Male
Hindu, Indian
Beach
Girl/Female
Australian, Danish, Thai
Illustrious; Glorious; Name of a Queen
Boy/Male
Hindu
Experienced, Wise, Liberal
Boy/Male
Hindu
Global thought leader. one who has divine wisdom. one who is hones. strong commercial instinct. self sufficient and ambitious. above all a good human being, Smiling face
Boy/Male
Hindu, Indian
Hope
Boy/Male
Hindu
Boy/Male
Indian
Shi means Golden Kin means Poetry; Four Virtues Compassion Love Sincerity and Dedication; The Heart that Possesses These Qualities
Boy/Male
Hindu
The one who has conquered Lakshmi the Goddess of wealth i.e. Lord Vishnu
Male
Welsh
Welsh form of Irish Cailte, SCILTI means "the thin man." In Culhwch and Olwen, this was the name of a messenger of Arthur's.Â
Boy/Male
Indian, Sanskrit
Experinced; Well Read
Female
English
English unisex name derived from the vocabulary word, "spirit," from Latin spiritus, "breath," from PIE (s)peis "to blow." Both blow ("to move air") and blow ("blossom") ultimately derive from proto-Germanic *blæ, from PIE *bhle, SPIRIT means "to bloom, to blow up, swell, thrive."
Boy/Male
Celtic
Legendary messenger of Arthur.
SCIKIT LEARN
SCIKIT LEARN
Boy/Male
Irish
The son of the legendary warrior Fionn Mac Cool (read the legend) and the goddess Sive. His mother was turned into a deer by the Dark Druid and she reared him in the forest until he was seven years old. When Fionn was out hunting he found the child and recognising him as his son, gave him the name oisinâ€â€little deer.â€â€ He is best remembered for his love for “â€Niamh of the Golden Hairâ€â€ with whom he spent 300 years in Tir-na-nOg, (“â€Land of Eternal Youthâ€â€) (read the legend). (Read the legend of Oisin and Niamh.) A very popular name again in Ireland.
Boy/Male
Muslim
Most holy book
Girl/Female
Assamese, Bengali, Celebrity, Gujarati, Hindu, Indian, Jain, Kannada, Malayalam, Marathi, Oriya, Sanskrit, Sindhi, Telugu, Traditional
Golden; Special; Goldness; Golden Rays
Biblical
(pronounced No-ach) rest; consolation
Boy/Male
Tamil
Boy/Male
Bengali, Hindu, Indian, Telugu
Quick
Girl/Female
Indian
Worshipped, Blessing of Lord Ganesh
Boy/Male
Hindi
Sunbeam.
Boy/Male
Hindu, Indian
Lord Krishna
Boy/Male
Tamil
Happy, Full of Joy
SCIKIT LEARN
SCIKIT LEARN
SCIKIT LEARN
SCIKIT LEARN
SCIKIT LEARN
n.
Stannic chloride. See under Stannic.
a.
Stuck; spoiled in making.
n.
Intent; real meaning; -- opposed to the letter, or to formal statement; also, characteristic quality, especially such as is derived from the individual genius or the personal character; as, the spirit of an enterprise, of a document, or the like.
n.
Rum, whisky, brandy, gin, and other distilled liquors having much alcohol, in distinction from wine and malt liquors.
v.
Courage; spirit.
n.
Spirit writing.
n.
Any liquid produced by distillation; especially, alcohol, the spirits, or spirit, of wine (it having been first distilled from wine): -- often in the plural.
n.
A solution in alcohol of a volatile principle. Cf. Tincture.
p. pr. & vb. n.
of Spirit
a.
Containing less alcohol than proof spirit. See Proof spirit, under Spirit.
n.
Tenuous, volatile, airy, or vapory substance, possessed of active qualities.
v. t.
To animate with vigor; to excite; to encourage; to inspirit; as, civil dissensions often spirit the ambition of private men; -- sometimes followed by up.
n.
Temper or disposition of mind; mental condition or disposition; intellectual or moral state; -- often in the plural; as, to be cheerful, or in good spirits; to be downhearted, or in bad spirits.
a.
Knowing; skillful.
n.
Ghost; spirit.
n.
One who is vivacious or lively; one who evinces great activity or peculiar characteristics of mind or temper; as, a ruling spirit; a schismatic spirit.
n.
Any one of the four substances, sulphur, sal ammoniac, quicksilver, or arsenic (or, according to some, orpiment).
imp. & p. p.
of Spirit
v. t.
To convey rapidly and secretly, or mysteriously, as if by the agency of a spirit; to kidnap; -- often with away, or off.
n.
Spirit.