详细代码如下: #coding=utf-8 from keras.preprocessing.text import Tokenizer tokens_samples = ['爸爸 妈妈 爱我', '爸爸 妈妈 爱 中国', '我 爱 中国'] #构建单词索引 tokenizer = Tokenizer() tokenizer.fit_on_texts(tokens_samples) word_index = tokenizer.word_index print(word_index) # {'爱':...
接下来,我们使用model.matrix函数对category列进行独热编码: #对category列进行独热编码encoded_data<-model.matrix(~category-1,data)print(encoded_data) 1. 2. 3. 4. 运行以上代码,我们可以得到如下输出: categoryA categoryB categoryC 1 1 0 0 2 0 1 0 3 0 0 1 4 1 0 0 5 0 0 1 6 0 1 ...
# need to be global or remembered to use it later def one_hot_encode(x):"""One hot encode a list of sample labels. Return a one-hot encoded vector for each label.: x: List of sample Labels : return: Numpy array of one-hot encoded labels """return label_binarizer.transform(x)
import pandas as pd column_name = encoder.get_feature_names_out(['Sex', 'AgeGroup']) one_hot_encoded_frame = pd.DataFrame.sparse.from_spmatrix(train_X_encoded, columns=column_name) # display(one_hot_encoded_frame) Sex_female Sex_male AgeGroup_0 AgeGroup_15 AgeGroup_30 AgeGroup_45 ...
问题:尝试使用one_hot编码时出错 答案:在进行one_hot编码时出错可能有多种原因,下面是一些可能导致错误的因素以及对应的解决方案。 1. 数据类型错误:one_hot编码需要对离散型数据...
One hot encode a list of sample labels. Return a one-hot encoded vector for each label. : x: List of sample Labels : return: Numpy array of one-hot encoded labels """returnlabel_binarizer.transform(x)
or strings, denoting the values taken on by categorical (discrete) features. The features are encoded using a one-hot (aka ‘one-of-K’ or ‘dummy’) encoding scheme. This creates a binary column for each category and returns a sparse matrix or dense array (depending on thesparseparameter...
One-hot encode the segmentation matrix into an array of typesingle. Expand the encoded labels into the third dimension. encSeg = onehotencode(seg,3,"single"); Check the size of the encoded segmentation. size(encSeg) ans =1×315 15 3 ...
IftblAcontains categorical values, the elements of the one-hot encoded vectors match the order of the categories; for example, the same order ascategories(tbl(1,n)). IftblAdoes not contain categorical values, you must specify the classes to encode using the'ClassNames'name-value argument. The...
one-hot coding是类别特征的一种通用解决方法，然而在树模型里面，这并不是一个比较好的方案，尤其当...