gan_model.compile(loss='binary_crossentropy', optimizer=Adam(0.0002, 0.5), metrics=['accuracy']) return gan_model # 训练模型 def train(gan, epochs, batch_size=128, save_interval=50): # 加载数据集 (X_train, _), (_, _) = tf.keras.datasets.mnist.load_data() X_train = X_train /...
为了展示数据飞轮的概念,我们可以通过构建一个简单的推荐系统,展示如何通过用户行为数据的反馈不断优化推荐模型。 from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import linear_kernel import pandas as pd # 模拟商品数据集 products = pd.DataFrame({ 'product_id': [...
TfidfVectorizer = LazyImport( "from sklearn.feature_extraction.text import TfidfVectorizer" ) CountVectorizer = LazyImport( "from sklearn.feature_extraction.text import CountVectorizer" ) metrics = LazyImport("from sklearn import metrics") sg = LazyImport("from scipy import signal as sg") # Cl...
from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import classification_report iris = load_iris() X, y = iris.data, iris.target X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2) knn = KNeighborsClassifier() knn.fit(X_train, y_train) p...
85k Accesses 213 Citations 211 Altmetric Metrics details Abstract Since the late 1990s, the trend of plastic waste shipment from developed to developing countries has been increasing. In 2017, China announced an unprecedented ban on its import of most plastic waste, resulting in a sharp decline ...
compile(optimizer='adam', loss=loss_fn, metrics=['accuracy']) # 加载数据 (x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data() x_train, x_test = x_train / 255.0, x_test / 255.0 # 训练模型 model.fit(x_train, y_train, epochs=5) # 评估模型 model....
(x) return x # Eager execution is an imperative programming environment that evaluates operations immediately, without building graphs tf.config.run_functions_eagerly(True) model = DKT(num_skills, seq_len, 128, 0.1) model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['accuracy...
Regression, Error Functions, Clustering # Deep Learning tf = LazyImport("import tensorflow as tf"...
The filesaved_model.pbcontains the model architecture and training options (for example, optimizer, losses, and metrics). The subfoldervariablescontains the weights learned by the pretrained TensorFlow network. By default,importTensorFlowLayersimports the weights. ...
pip 安装 tensorly 代码语言:javascript 代码运行次数:0 复制 Cloud Studio代码运行 pip install-Utensorly 在复现基于特征重构的张量 ARIMA,调用 tensorly 时遇到报错如下: 分析认为:报错原因在于版本问题,有看到网上解决方案如下: 但我去 site-packages 里找相应 .py 文件,发现导入包的方式跟它的截图有些不一致。如...