@jsmlt/jsmlt
Version:
JavaScript Machine Learning
56 lines (38 loc) • 2.42 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", {
value: true
});
exports["default"] = void 0;
var Arrays = _interopRequireWildcard(require("./arrays"));
var _classification = _interopRequireDefault(require("./classification"));
var _data = _interopRequireDefault(require("./data"));
var Datasets = _interopRequireWildcard(require("./datasets"));
var _kernel = _interopRequireDefault(require("./kernel"));
var ModelSelection = _interopRequireWildcard(require("./model-selection"));
var _preprocessing = _interopRequireDefault(require("./preprocessing"));
var Random = _interopRequireWildcard(require("./random"));
var _supervised = _interopRequireDefault(require("./supervised"));
var _ui = _interopRequireDefault(require("./ui"));
var _unsupervised = _interopRequireDefault(require("./unsupervised"));
var _util = _interopRequireDefault(require("./util"));
var _validation = _interopRequireDefault(require("./validation"));
function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { "default": obj }; }
function _getRequireWildcardCache() { if (typeof WeakMap !== "function") return null; var cache = new WeakMap(); _getRequireWildcardCache = function _getRequireWildcardCache() { return cache; }; return cache; }
function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } var cache = _getRequireWildcardCache(); if (cache && cache.has(obj)) { return cache.get(obj); } var newObj = {}; if (obj != null) { var hasPropertyDescriptor = Object.defineProperty && Object.getOwnPropertyDescriptor; for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) { var desc = hasPropertyDescriptor ? Object.getOwnPropertyDescriptor(obj, key) : null; if (desc && (desc.get || desc.set)) { Object.defineProperty(newObj, key, desc); } else { newObj[key] = obj[key]; } } } } newObj["default"] = obj; if (cache) { cache.set(obj, newObj); } return newObj; }
var _default = {
Arrays: Arrays,
Classification: _classification["default"],
Data: _data["default"],
Datasets: Datasets,
Kernel: _kernel["default"],
ModelSelection: ModelSelection,
Preprocessing: _preprocessing["default"],
Random: Random,
Supervised: _supervised["default"],
UI: _ui["default"],
Unsupervised: _unsupervised["default"],
Util: _util["default"],
Validation: _validation["default"]
};
exports["default"] = _default;
module.exports = exports.default;