Discussed in #3342 Originally posted by MohamedNedal October 16, 2023 Hello, I have a trained LSTM mode for timeseries foreasting and I cannot use SHAP with it. I have checked the tutorials and the discussions here on similar problems an...
(inputs, **kwargs) File "/tmp/ray/session_2025-02-13_20-21-49_291266_28443/runtime_resources/working_dir_files/_ray_pkg_03378999d275e024/src/algorithm/encoders/lstm_mlp_encoder.py", line 112, in _forward lstm_out, states_out = self.lstm1(obs, (states_in["h"], states_in["c...
The extractability of the information on the working conditions of support is analyzed with the actual case, and the intelligent prediction of mine pressure at longwall working face is realized by the stacked LSTM algorithm.Shengli YangJiachen Wang...
The BERT algorithm uses ‘Two-Way Language Processing’ instead of traditional left-to-right and right-to-left language processing models. Unlike the superficial bidirectional language processing that goes from left to right and right to left, the BERT model uses a more complex ‘Masked Language ...
Understanding how TensorFlow works with matrices is very important to understanding the flow of data through computational graphs.Getting ready Many algorithms depend on matrix operations. TensorFlow gives us easy-to-use operations to perform such matrix calculations. For all of the following examples, ...
Prefrontal Cortex Basal Ganglia Working Memory (PBWM) is an algorithm which models the working memory in the prefrontal cortex and the basal ganglia. It can be compared to Long short-term memory (LSTM) in functionality but is much more biological explainable. It uses PVLV to train Prefrontal ...
Traditional learning algorithm discovers generic experience on the data level, while meta-learning aims at finding a rule that generalizes experience on the task level. Meta-learning utilizes a deep learning model as base structure, which takes full advantage of the feature-extracted capacity of deep...
Compensating and controlling the thermal error of the machine tool is an important part of improving machining accuracy. This paper uses a cuckoo search algorithm to optimize the BP neural network to get the CSBP neural network model and inputs the temperature value of the CNC machine tool into...
dtw-python Python port of R's Comprehensive Dynamic Time Warp algorithm package. etna ETNA is an easy-to-use time series forecasting framework. fost Forecasting open source tool aims to provide an easy-use tool for spatial-temporal forecasting. functime Time-series machine learning and embeddings...
, a machine learning algorithm based, monthly anomaly prediction experiment, forcusing on temperature and precipitation anomalies in each individual weather station in China. Spellcaster is extended to the whole China domain now. realtime forecast result can be found on theGithub page....