Sequence data vs time series data - Data Science Stack Exchange
Apr 11, 2018 · A time series is a series of data points indexed (or listed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. …
Temporal data types: time-series vs temporal sequences
Aug 28, 2020 · You are correct time-series data are a special case of temporal sequences because time-series data is required to be collected on regular time intervals and constrained …
What is dependency in sequential data? - Data Science Stack …
Jun 2, 2024 · 2 I read from this article, We know that Whenever the points in the dataset are dependent on the other points in the dataset the data is said to be Sequential data. A common …
Can MLP model sequential data? - Data Science Stack Exchange
Sep 4, 2022 · When modeling sequential data, RNNs are introduced as an improvement of MLP as they can model the time dependency between the inputs. It is said that feeding the last N …
data - How does the validation_split parameter of Keras' fit …
Dec 6, 2019 · You want to always split your data before the training process and then the algorithm should only be trained using the subset of the data for training. The function as it is …
Can a Transformers be used for a classification problem?
Jan 4, 2022 · I want to perform binary classification on a sequential data. I want to leverage the PyTorch nn.TransformerEncoder module, is there a way I can do this? If not, are Transformers …
model.summary() doesn't return proper output shape in keras …
The TensorFlow/Keras API doesn't show the output shape or the number of parameters in model.summary() because, in some cases, it doesn't have enough information to infer the …
What if we input sequence data to feedforward network?
Oct 1, 2020 · Finally, self-attention networks, which are feedforward, are currently the state of the art is natural language processing. These graph neural networks can obtain in general better …
python - sklearn - How to create a sequential pipeline - Data …
Sep 9, 2020 · I am looking for a help building a data preprocessing pipleline using sklearn's ColumnTransformer functions where the some features are preprocesses sequentially. I am …
machine learning - Adding Features To Time Series Model LSTM
The title was misleading, I thought it was adding new features to a model that had already been trained and then continuing with the training.