How To Apply Time Embeddings To A Classification and Quantity Forecast In Tensorflow Embedding time along with categorical and continuous features offsets the errors caused by intermittent time series. This event often occurs in manufacturing or retail businesses that distribute through multiple overlapping distributors or stores and regions with a large parts list. The solution in tensorflow is demonstrated for an international specialty fastener manufacturer with over 2000 part items and 200 distributors in 5 regions. The manufacturer needed pricing support at the quote level by part, distributor and region to project whether or not a quote would become an order and the expected quantity to be sold during a successful order so that it could align with their current demand planning methods. The first session half discusses applications and solutions while the session second half explains the feature development and the non-linear tensorflow model in depth. The annotated open source code in a jupyter notebook is provided for reference.

This is a repo for the demo at the PATLIB conference in Vienna in July 2025, where we live demoed a claude code session to modifiy a Jupyter notebook.

I have problem whit that this is my code on jupyter notebook: from sentistrength import PySentiStr senti=PySentiStr() senti.setSentiStrengthPath("C:\aaaa\SentiStrength.jar") senti.setSentiStrengthLanguageFolderPath("D:\\9LanguageSetsPoor\\persian\\") r=['امروز هوا سرد اما فوق العاده است','روز بدی است'] result=senti.getSentiment(r , score='scale') print(result) and this is the output: FileNotFoundError Traceback (most recent call last) <ipython-input-10-d2117cf09e09> in <module> 4 senti.setSentiStrengthLanguageFolderPath("D:\\9LanguageSetsPoor\\persian\\") 5 r=['امروز هوا سرد اما فوق العاده است','روز بدی است'] ----> 6 result=senti.getSentiment(r , score='scale') 7 print(result) c:\users\asus\env\lib\site-packages\sentistrength\__init__.py in getSentiment(self, df_text, score) 31 df_text = df_text.str.replace('\r','') 32 conc_text = '\n'.join(df_text) ---> 33 p = subprocess.Popen(shlex.split("java -jar '" + self.SentiStrengthLocation + "' stdin sentidata '" + self.SentiStrengthLanguageFolder + "' trinary"),stdin=subprocess.PIPE,stdout=subprocess.PIPE,stderr=subprocess.PIPE) 34 b = bytes(conc_text.replace(" ","+"), 'utf-8') 35 stdout_byte, stderr_text = p.communicate(b) c:\users\asus\appdata\local\programs\python\python38-32\lib\subprocess.py in __init__(self, args, bufsize, executable, stdin, stdout, stderr, preexec_fn, close_fds, shell, cwd, env, universal_newlines, startupinfo, creationflags, restore_signals, start_new_session, pass_fds, encoding, errors, text) 852 encoding=encoding, errors=errors) 853 --> 854 self._execute_child(args, executable, preexec_fn, close_fds, 855 pass_fds, cwd, env, 856 startupinfo, creationflags, shell, c:\users\asus\appdata\local\programs\python\python38-32\lib\subprocess.py in _execute_child(self, args, executable, preexec_fn, close_fds, pass_fds, cwd, env, startupinfo, creationflags, shell, p2cread, p2cwrite, c2pread, c2pwrite, errread, errwrite, unused_restore_signals, unused_start_new_session) 1305 # Start the process 1306 try: -> 1307 hp, ht, pid, tid = _winapi.CreateProcess(executable, args, 1308 # no special security 1309 None, None, FileNotFoundError: [WinError 2] The system cannot find the file specified help me!!!

Jupyter notebooks created for use in a training session on the topic of drought forecasting via satellite:artificial_satellite:. This repo contains the scripts needed to pre-process MODIS data and apply Gaussian Processes to time-series in order to forecast VCI :chart_with_upwards_trend:.

This repository contains the Jupyter Notebooks and data used in the Arcpy: Working with Raster Data session at 2022 DevSummit.