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javascript当中concat,join,slice用法

例 1.3(concat,join,slice) <html> <head> <meta http-equiv="content-type" content="text/html; charset=utf-8"/> <Script> /* 马克-to-win:qixy: Array is a dynamic array. - myArray = new Array(aLength) - myArray = new Array(anItem1, anItem2, anItem3, ...) */ var arr = new Array(1);//arr.length is 1,但是里面的东西是undefined, 所以这样写[undefined] /*虽然arr是个object, 但是里面的东西是undefined*/ document.write("typeof arr is "+typeof(arr)); var a = new Array(2, 6, 5, "a"); document.write("arr.length is "+arr.length+"a.length is "+a.length); var b = new Array(12, 14); arr[0] = "java"; arr[1] = "intel"; arr[2] = "microsoft"; /* Property/method value type: Array object JavaScript syntax: - myArray.concat(someValues, ...) The result of this method is a new array consisting of the original array, plus the concatenation. The values that are passed to the method are added to the end of the array. If arrays are passed, they are flattened and their individual elements added. The method returns an array consisting of the original Array plus the concatenated values. If Array1 contains "AAA", "BBB", "CCC" and Array2 contains "000", "111", "222", then the method call Array1.concat(Array2) will return an array with all the elements in a single collection. The original arrays will be untouched. */ document.write("arr.toString() is " + arr.toString() + "
"); //与无参join()方法等同 var arrconcat=arr.concat(a, b); document.write("arr.concat(a,b) is " + arrconcat + "
"); /*Array.join() (Method) Concatenate array elements to make a string. Property/method value type: String primitive JavaScript syntax: - myArray.join(aSeparator) Argument list: aSeparator A string to place between array elements as the array is concatenated to form a string. //无参join()方法默认是用逗号连接 */ document.write("arr.join() is " + arr.join

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DOC2VEC:所涉及的参数以及WORD2VEC所涉及的参数

DOC2VEC:所涉及的参数 class gensim.models.doc2vec.Doc2Vec(documents=None, dm_mean=None, dm=1, dbow_words=0, dm_concat=0, dm_tag_count=1, docvecs=None, docvecs_mapfile=None, comment=None, trim_rule=None, **kwargs) Bases: gensim.models.word2vec.Word2Vec Class for training, using and evaluating neural networks described in http://arxiv.org/pdf/1405.4053v2.pdf Initialize the model from an iterable of documents. Each document is a TaggedDocument object that will be used for training. The documents iterable can be simply a list of TaggedDocument elements, but for larger corpora, consider an iterable that streams the documents directly from disk/network. If you don’t supply documents, the model is left uninitialized – use if you plan to initialize it in some other way. dm defines the training algorithm. By default (dm=1), ‘distributed memory’ (PV-DM) is used. Otherwise, distributed bag of words (PV-DBOW) is employed. Dm:训练算法:默认为1,指DM;dm=0,则使用DBOW。 size is the dimensionality of the feature vectors. · size:是指特征向量的维度,默认为100。大的size需要更多的训练数据,但是效果会更好. 推荐值为几十到几百。 window is the maximum distance between the predicted word and context words used for prediction within a document. window:窗口大小,表示当前词与预测词在一个句子中的最大距离是多少。 alpha is the initial learning rate (will linearly drop to min_alpha as training progresses). alpha: 是初始的学习速率,在训练过程中会线性地递减到min_alpha。

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