网络释义 1. 时间序列数据集 时间序... ... ) time series data 时间序列数据 ) Time series dataset 时间序列数据集 ) time-series database 时间序列数据库 ... www.dictall.com|基于1 个网页必应词典应用 准确权威无广告去官网了解更多 下载手机版必应词典 iOS Windows Phone Android 体验P C 版必应词...
在provider里面时序预测问题训练部分,他调用了一个Data来构建。这个Data是根据传入的参数里的args.data来构建的。我们这里传入的是ETTh1。 根据data_dict,我们去data_provider.data_loader里找到对应ETTh1的Dataset_ETT_hour类。 首先,Dataset_ETT_hour开头赋予了历史数据长度,预测长度,标签长度。这些参数是运行脚本传入...
class TimeseriesDataset(Dataset): def __init__(self, data): self.data = data def __len__(self): return len(self.data) - WINDOW_SIZE + 1 # Assuming we're using sliding window def __getitem__(self, idx): return self.data[idx:idx+WINDOW_SIZE] 注意:上述代码中的WINDOW_SIZE是一个...
data = [float(row[series_idx])forrowincsvreaderiflen(row) >0] normalized_data = (data - np.mean(data)) / np.std(data)returnnormalized_dataexceptIOError:returnNoneSplit the timeseries dataset into two components. The first section will befortraining,andthenextsection will befortesting.defsp...
Additional columns can contain other factors that may influence the forecast performance. For example, in a time-series dataset for retail where the target is the sales or revenue, you might include features that provide information about units sold, product ID, store location, customer count, inv...
# Load Tunnel Traffic dataset data_dir = Path("data/ts-course-data") tunnel = pd.read_csv(data_dir / "tunnel.csv",parse_dates=["Day"]) # Create a time series in Pandas by setting the index to a date # column. We parsed "Day" as a date type by using `parse_dates` when ...
timeseries_dataset_from_array创建一个timeseries数据集。根据文档,它返回一个tf.data.Dataset实例。在调用timeseries_dataset_from_array函数时,我还传递了批处理大小参数,因此我的数据集是一个BatchDataset。通过传递my_fun,我在这个批处理数据集(ds)上使用了map。下面代码中< 浏览41提问于2021-10-15...
A method includes generating from a time-series dataset multiple corresponding time-slice datasets. Each time-slice dataset has a corresponding time-slice time index and includes field-value data strings and associated field-value-time-index data strings, or pointers indicating the corresponding strings...
timeseries_dataset_from_array( x_val, y_val, sequence_length=sequence_length, sampling_rate=step, batch_size=batch_size, ) 补0之后,测试数据比原来数据多past-1个,2个。 代码语言:javascript 复制 # 输出数据 for batch in dataset_val.take(1): inputs, targets = batch print("val Input shape...
这里,train_dataset一共有103个snapshot,表示t=0到t=102,每一个时刻的graph结构,这里模型每个batch的输入是当个时刻的snapshot,并且snapshot是按顺序输入dcrnn中的。 这样的设计明显就舒服多了。。实际上看dcrnn的底层代码中forward的部分是很好理解的: