test,train and val .npy files are corrupted

[Navneetsajith1]

could you check the tes, train and val.npy files. they seem to be corrupted

[maoxiaowei97]

Thanks for you question, I downloaded the files from this github and loaded the datasets. Maybe you can download again and try to load them. The dataset here provides a sample for running the algorithm. You can obtain the raw data and preprocess files from https://github.com/wenhaomin/LaDe.

[Navneetsajith1]

Hey, Yes, I tried that, but every time I download it, the three .npy files are corrupted. Is it possible to get the other values? My objective is to replace the dataset with a new one to see if the program can be replicated in other modes. Warm regards, Navneet

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On Thu, May 2, 2024 at 2:19 PM Xiaowei ***@***.***> wrote: 41401714651979_.pic.jpg (view on web) <https://github.com/maoxiaowei97/DRL4Route/assets/91260703/9e5556fa-e1aa-4c57-9552-279ebf3a1556> Thanks for you question, I downloaded the files from this github and loaded the datasets. Maybe you can download again and try to load them. The dataset here provides a sample for running the algorithm. You can obtain the raw data and preprocess files from https://github.com/wenhaomin/LaDe. — Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AT5SSNTFXYU3CHE34TCXMSTZAIVLXAVCNFSM6AAAAABHDPJIIGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDAOJQGM2TQOJRGQ> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[maoxiaowei97]

import pickle
with open('train.pickle', 'rb') as f:
    loaded_data_train = pickle.load(f)

data.zip
Please try to load the files saved by pickle, thanks~

[Navneetsajith1]

yes that works thank you. But my main issue is that I get a key error because of V_len every time I try to run route_prediction

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On Thu, May 2, 2024 at 3:47 PM Xiaowei ***@***.***> wrote: import pickle with open('train.pickle', 'rb') as f: loaded_data_train = pickle.load(f) data.zip <https://github.com/maoxiaowei97/DRL4Route/files/15189167/data.zip> Please try to load the files saved by pickle, thanks~ — Reply to this email directly, view it on GitHub <#2 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AT5SSNX4U7GAVOKWNQCJSOTZAI7VJAVCNFSM6AAAAABHDPJIIGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDAOJQGU2DINRRGY> . You are receiving this because you authored the thread.Message ID: ***@***.***>

[Navneetsajith1]

Hi, sorry for troubling you again, but could you explain the logic behind your creation of the .npy files. Also, I have tried to get your LaDe-master code running but it really seems impossible to get it running. I want to convert my dataset, which has the same columns as your .csv file, to the train, test and val files to run it with the code On Mon, May 6, 2024 at 10:36 AM Navneet sajith ***@***.***> wrote:

…

yes that works thank you. But my main issue is that I get a key error because of V_len every time I try to run route_prediction On Thu, May 2, 2024 at 3:47 PM Xiaowei ***@***.***> wrote: > import pickle > with open('train.pickle', 'rb') as f: > loaded_data_train = pickle.load(f) > > data.zip > <https://github.com/maoxiaowei97/DRL4Route/files/15189167/data.zip> > Please try to load the files saved by pickle, thanks~ > > — > Reply to this email directly, view it on GitHub > <#2 (comment)>, > or unsubscribe > <https://github.com/notifications/unsubscribe-auth/AT5SSNX4U7GAVOKWNQCJSOTZAI7VJAVCNFSM6AAAAABHDPJIIGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDAOJQGU2DINRRGY> > . > You are receiving this because you authored the thread.Message ID: > ***@***.***> >

[Navneetsajith1]

If even that does not work, could you try running my dataset with your code and see if it works? I know that this is a huge ask but I am at my wits end haha. I would really appreciate it. Warm regards, Navneet On Thu, May 23, 2024 at 11:47 AM Navneet sajith ***@***.***> wrote:

…

Hi, sorry for troubling you again, but could you explain the logic behind your creation of the .npy files. Also, I have tried to get your LaDe-master code running but it really seems impossible to get it running. I want to convert my dataset, which has the same columns as your .csv file, to the train, test and val files to run it with the code On Mon, May 6, 2024 at 10:36 AM Navneet sajith ***@***.***> wrote: > yes that works thank you. > But my main issue is that I get a key error because of V_len every time I > try to run route_prediction > > On Thu, May 2, 2024 at 3:47 PM Xiaowei ***@***.***> wrote: > >> import pickle >> with open('train.pickle', 'rb') as f: >> loaded_data_train = pickle.load(f) >> >> data.zip >> <https://github.com/maoxiaowei97/DRL4Route/files/15189167/data.zip> >> Please try to load the files saved by pickle, thanks~ >> >> — >> Reply to this email directly, view it on GitHub >> <#2 (comment)>, >> or unsubscribe >> <https://github.com/notifications/unsubscribe-auth/AT5SSNX4U7GAVOKWNQCJSOTZAI7VJAVCNFSM6AAAAABHDPJIIGVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDAOJQGU2DINRRGY> >> . >> You are receiving this because you authored the thread.Message ID: >> ***@***.***> >> >

[maoxiaowei97]

Thanks for your question~

1. V_len denotes the number of couriers' finished and unfinished tasks/packages in a sample.

2. Each row in the raw dataset contains information on an order, such as accept time, location, and promised pickup time of a package. First, we get a set of orders for each courier finished at a period by preprocess.py. This process aims to obtain the trajectories of each courier in the pickup process. Then, we treat each trajectory as a sample to construct inputs and outputs for the route and time prediction model by dataset.py. Specifically, the input mainly contains information on the finished and unfinished tasks and the courier's information. The route label is a permutation of the index of the unfinished tasks.

3.Please describe your dataset and your problem, and I would be happy if I could provide some suggestions.

[Navneetsajith1]

Hey, If I wanted to check the distance between the corresponding points and the overall standard deviation between the predicted and actual sequence, how exactly would I do this?