![]() ![]() For more information on how to set this up, look at the documentation for the canvas module. ![]() Note In node.js, this library requires Cairo. positions are the positions of the vertices in the triangulation.cells are the faces of the triangulation, encoded as triples of indices into the vertex array.A 2D oriented simplicial complex encoded as a list of cells and positions, represented by a JSON object with two properties Triangulation: This format may be most suitable for WebGL/rendering applications. This format is most suitable for SVG and GeoJSON output method in machine learning NLP, the bag-of-words method for text vectorization. Polygon list: A list of complex polygons encoded as arrays of positions. There are many ways to vectorize a text into numeric representations. A JSON object encoding the embedding of an oriented planar graph, with the following properties: First, open a new Photoshop file, and use the text tool to type anything you want on the artboard. Planar graph: This is the fastest output format. Returns The returned value depends on the type of geometry Note: it is also possible to combine sub and superscripts: A B C. between and would be presented in as subscript. between and would be presented in as superscript. could be used in the input to enter new lines. options.canvas an optional canvas element.Must be either "cw" for clockwise or "ccw" for counter clockwise. Processing natural language text and extract useful information from the given word, a sentence using machine learning and deep learning techniques requires the string/text needs to be converted into a set of real numbers (a vector) Word Embeddings. options.orientation determines the orientation of any output triangles/polygon curves.options.polygons if set, output a list of polygons.iangles if set, then output a triangulation.options.height determines the height of the text, overrides lineHeight if specified.Word embeddings help in the following use cases. ![]() The process of converting words into numbers are called Vectorization.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |