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!wget http://10.234.196.5:8080/train_data.csv
--2019-04-25 03:18:42-- http://10.234.196.5:8080/Future/train_data.csv Connecting to 10.234.196.5:8080... connected. HTTP request sent, awaiting response... 200 OK Length: 10448608 (10.0M) [text/csv] Saving to: 'train_data.csv' train_data.csv 100%[===================>] 9.96M 9.93MB/s in 1.0s 2019-04-25 03:18:43 (9.93 MB/s) - 'train_data.csv' saved [10448608/10448608]
import pandas as pd
!jovian clone 61107df587634aba8cf7bb4319f8093b
[jovian] NOTE: Jovian is current in beta, so if you face any issues, please report them here: https://github.com/swiftace-ai/jovian-py/issues [jovian] Fetching 61107df587634aba8cf7bb4319f8093b.. [jovian] Downloading files.. [jovian] Cloned successfully to 'rentforecast-ipynb-61107'. Next steps: $ cd rentforecast-ipynb-61107 # Enter the directory $ jovian install # Install dependencies $ conda activate <env_name> # Activate environment $ jupyter notebook # Start Jupyter Replace <env_name> with the name of your environment (without the '<' & '>') Jovian uses Anaconda ( https://conda.io/ ) under the hood, so please make sure you have it installed and added to path. * If you face issues with `jovian install`, try `conda env update`. * If you face issues with `conda activate`, try `source activate <env_name>` or `activate <env_name>` to activate the virtual environment. NOTE: Jovian is current in beta, so if you face any issues, please report them here: https://github.com/swiftace-ai/jovian-py/issues
import jovian
jovian.commit(env_type='pip')
[jovian] Saving notebook..