This is GoldMine for MLFlow deployement . Thanks for sharing such Gold Mine content.
@AshutoshTripathi_AI19 сағат бұрын
Thank you
@rotnodipsarkar4797Күн бұрын
Thank you so much, Dada! Your works are really helpful! Keep working and guide us; distribute your knowledge, experience and good things!
@AshutoshTripathi_AI19 сағат бұрын
You are welcome. And thank you for the kind words.
@rotnodipsarkar479715 сағат бұрын
@@AshutoshTripathi_AI God bless, Dada!
@mohankrishna10328 күн бұрын
any technique or library helps to detect model drift ....? thanks in advance ☺️
@AshutoshTripathi_AI8 күн бұрын
You can try alibi library
@saurabhphirke14038 күн бұрын
nice insight !
@AshutoshTripathi_AI8 күн бұрын
Thank you Saurabh ☺️
@TapchoiYouTube028 күн бұрын
Thank sir, after hours of trying I finally can install it
@AshutoshTripathi_AI8 күн бұрын
Glad to know that it worked for you.
@kailukesandip8 күн бұрын
Do you see, near feature challenges in data quality ethical concerns and scalability?
@AshutoshTripathi_AI8 күн бұрын
Ethical concerns for sure. Scalability I don't see a major challenge. What are your thoughts
@geetatripathi93359 күн бұрын
Very good 👍
@AshutoshTripathi_AI9 күн бұрын
Thank you mummy.
@mahakgupta33509 күн бұрын
Very insighful!
@AshutoshTripathi_AI9 күн бұрын
Hey Mahak, thank you very much 🙏
@praveenkuthuru743915 күн бұрын
Your work is really impressive. I have been following your videos and gaining a lot of knowledge. excellent work...keep it up!!!
@AshutoshTripathi_AI14 күн бұрын
Thank you Praveen 🙏
@user-rw6ul9zr8o15 күн бұрын
Sir, can we used feast for image data? How can implement it? actually saw your video on feast on machine learning model. I am trying implement for image data for image classification, but I have got error. sir can you make video on it. thank you
@AshutoshTripathi_AI14 күн бұрын
Yes you can use to store the feature vectors
@saikiran-mi3jc16 күн бұрын
i am hosting mlflow on VM and using set tracking URI to log parameters , metrics , artifacts , my model is not supported by mlflow so to log i am using pyfunc module of mlflow to log the model. i have written custom class like ........ class Model_Wrapper(mlflow.pyfunc.PythonModel): def __init__(self,): self.model = None def load_context(self,context): self.model=mlflow.pyfunc.load_model(context.artifacts["Original_Model"]) def predict(self, context, model_input): ss=self.model.sample(model_input.get("records")[0]) return ss.to_json() passing {"inputs":{"records":[20]}} for invocations url in postman.. but, getting error as....... Encountered an unexpected error while evaluating the model. Verify that the serialized input Dataframe is compatible with the model for inference. I am using SDV ctgan model can you help anything on this...
@AshutoshTripathi_AI15 күн бұрын
As per the error message, input to the model is not compatible with the input model is expected. First may be in notebook try to run the model predictions and see if it works. And also normally mlflow prediction api take ndaray input format. So just work on this area then it should fix the error
@praveenkuthuru743922 күн бұрын
This is a wonderful explanation of the MLflow implementation....thanks for the efforts and making the learner's understanding very simple yet effective...good work...
@AshutoshTripathi_AI20 күн бұрын
Thanks a lot Praveen
@sanjuktamohanty493122 күн бұрын
Thanks a lo sir
@AshutoshTripathi_AI22 күн бұрын
You are welcome, Mam
@ettiennebotes783222 күн бұрын
Great video. Strait to the point. l love it.
@AshutoshTripathi_AI22 күн бұрын
Thnak you.
@vaibhavkadam448222 күн бұрын
🎉 waited for this video
@AshutoshTripathi_AI22 күн бұрын
Hope it helps. Part 2 will come on coming Monday which will cover the experiment tracking part. Thanks for stopping by, Vaibhav.
@AshutoshTripathi_AI22 күн бұрын
Reproducible data and ML Pipeline using DVC: kzfaq.info/get/bejne/ZsyKpryFrNWsYHU.htmlsi=BBZzBuGQ8w0zgQF4
@AshutoshTripathi_AI22 күн бұрын
Data Version Control Live Demo: kzfaq.info/get/bejne/o9yfgr2lusDdfnk.htmlsi=vBnwnNkUILgKw586 Setup gsutil to access gs cloud buckets: kzfaq.info/get/bejne/oaeXZ7eAlZnXnHU.htmlsi=neGC5hrjEmt1-_Ob
@HarishKumar-lz2nw23 күн бұрын
very well explained. Thanks Ashutosh.
@AshutoshTripathi_AI22 күн бұрын
You are welcome
@nithin037823 күн бұрын
can we get answer for anyu question..? or the data which was already provided..?
@AshutoshTripathi_AI23 күн бұрын
Sorry I did not understand your question. Could you please elaborate
@kashifsadiq414523 күн бұрын
great sir
@AshutoshTripathi_AI23 күн бұрын
Thank you
@user-rb1oe2rx4vАй бұрын
when i called entity_df = pd.DataFrame({ "movie_id": [1, 2, 3], "event_timestamp": pd.to_datetime(["2024-07-29", "2024-07-29", "2024-07-29"]) }) # Получение исторических данных historical_features = fs.get_historical_features( entity_df=entity_df, features=[ "movies_1980_2020:title", "movies_1980_2020:director", "movies_1980_2020:genre", "movies_1980_2020:release_date", "movies_1980_2020:duration", "movies_1980_2020:rating" ] ).to_df() I have some problem. -> 6252 raise KeyError(f"{not_found} not in index") KeyError: "['title', 'director', 'genre', 'release_date', 'duration', 'rating'] not in index"
@leviackerman8729Ай бұрын
Thanks for the video. can you please make a video on model governance as well?
@AshutoshTripathi_AI22 күн бұрын
Yes, I will. Thanks for the suggestions.
@michaeld9682Ай бұрын
Good job
@AshutoshTripathi_AI22 күн бұрын
Thank you
@krishj8011Ай бұрын
Awesome Tutorial...
@AshutoshTripathi_AI22 күн бұрын
Thanks Krish
@krishj8011Ай бұрын
Awesome Tutorial...
@AshutoshTripathi_AI22 күн бұрын
Thank you Krish
@shekharrawat5703Ай бұрын
Hello Ashutosh , Thank for explaining everything in details its really Helpful , I have a question , - Can we acheive CI/CD in Machine learning with MLflow ? - Why do we use kubeflow is it different from MLflow ? - Which solution MLflow or Kubeflow is widly in Industry Practise ?
@AshutoshTripathi_AI7 күн бұрын
Hi Shekhar, Mlflow or kubeflow are not meant for CI/CD. For CI/CD you can use either GitHub actions or Jenkins or anyother tool. There is overlap between kubeflow and mlflow in terms of functionalities. Kubeflow provides ml pipeline creation which was not there in mlflow earlier but now mlflow also provides pipelines named as recipes. Mlflow mainly used for experiment tracking and model registry. So in industry for experiment tracking and model registry mlflow is frequently used. Kubeflow is used by some industry but not so widely as mlflow. Because for pipeline creation people use airflow more frequently
@shekharrawat57036 күн бұрын
@@AshutoshTripathi_AI thanks for detailed reply , much appreciated.
@chandrasutrisnoАй бұрын
how can we run all the code in the background as in run/set it on the server so everything still runs when we leave the environment?
@madhusudhanarajs9627Ай бұрын
Hi, Getting the below error PS D:\Software\airflow-docker> docker compose up airflow-init time="2024-07-23T15:42:52+05:30" level=warning msg="The \"AIRFLOW_UID\" variable is not set. Defaulting to a blank string." time="2024-07-23T15:42:52+05:30" level=warning msg="The \"AIRFLOW_UID\" variable is not set. Defaulting to a blank string." error during connect: Get "%2F%2F.%2Fpipe%2FdockerDesktopLinuxEngine/v1.46/containers/json?all=1&filters=%7B%22label%22%3A%7B%22com.docker.compose.config-hash%22%3Atrue%2C%22com.docker.compose.project%3Dairflow-docker%22%3Atrue%7D%7D": open //./pipe/dockerDesktopLinuxEngine: The system cannot find the file specified.
@hassanhameed720Ай бұрын
Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2427)')': /pkgs/main/notices.json
@Sandesh.DeshmukhАй бұрын
Hi Ashutosh, Great Video. So you are using Paid LLM here? If yes, then how can we do this with open-source or free llm's?
@AshutoshTripathi_AIАй бұрын
You can use mistral model. Search for mistral in huggingface site and there you will get the code. Same you can use here.
@krishj8011Ай бұрын
Great tutorial
@AshutoshTripathi_AI3 күн бұрын
Thank you
@borneoland-hk2ilАй бұрын
Thanks
@mayowaade2856Ай бұрын
Great ashtouch!!. More contents on complex pipelines pls, with third party connectors too.
@mayowaade2856Ай бұрын
Great content ashtouch.. we need consistent content on airflow pls. Perhaps a paid course is in the works?
@kian69topgun12 күн бұрын
I agree,, Ashu sir please bring more Airflow content possibly with a cloud platform like AWS
@mokshbaweja1452Ай бұрын
after kubectl apply -f tensorflow.yaml my pod running state shows 1/2 instead of 2/2. How to resolve that?
@davidaliaga4708Ай бұрын
Where is the video you mebtuobed in 12:03 ? how to create (and run?) a pipeline
@AshutoshTripathi_AIАй бұрын
kzfaq.info/get/bejne/ftKmrJeXtb2annk.html
@ramyasasi8840Ай бұрын
bro for me those containers are not created...i followed all the steps.if i search for loaclhost:8088 it says congratulations you have created your first container
@kashifsadiq4145Ай бұрын
Can you start AIops series
@AshutoshTripathi_AIАй бұрын
Yes
@jddbhfgwdfhfhАй бұрын
Binary file of Model will be of what extension?
@AshutoshTripathi_AIАй бұрын
It depends on the ML framework you are using. For scikit learn it will be .pickle or joblibe in case of Tensorflow it can be in .h5 format.
@arulprasathp2444Ай бұрын
Not working internally you used a openAi key iguess
@AshutoshTripathi_AIАй бұрын
Yes I have used the key. You need to register in open ai site and get the key.
@arulprasathp2444Ай бұрын
Good work im gonna try now. Please use the milvus for the vectors
@AshutoshTripathi_AIАй бұрын
Sure.
@geetatripathi9335Ай бұрын
Very good in
@AshutoshTripathi_AIАй бұрын
🙏
@RISWANAHAMEDMbtech_ai_b2022Ай бұрын
the best mlflow i first seen
@AshutoshTripathi_AIАй бұрын
Thank you
@jddbhfgwdfhfhАй бұрын
Great insight Ashutosh,thanks a lot
@AshutoshTripathi_AIАй бұрын
Thank you
@jddbhfgwdfhfhАй бұрын
Thanks you ashutosh you are awesome teacher thanks for very clear explanation of each thing Kindly please clear my below doubts Do we use gunicorn server in production?if no then why we dont use and which one we use another question is if i am working as Mlops engineer then do i need to create Docker file and requirmemnt.txt myself or we will get it from developer how it works ?
@AshutoshTripathi_AIАй бұрын
Yes, you can use gunicorn in production. And for the second question also yes as Mlops engineer you need to create docker and req text file. As a Mlops engineer you would need to do all things done by devops but focused on ML lifecycle stages.
@jddbhfgwdfhfhАй бұрын
@@AshutoshTripathi_AI thank you Ashutosh
@mustafabohra2070Ай бұрын
Thank you sir
@AshutoshTripathi_AIАй бұрын
Thank you
@OmSingh-hp4ftАй бұрын
The video is soo dam good u r a gem
@AshutoshTripathi_AIАй бұрын
Thank you.
@user-im5cz4yj9e2 ай бұрын
Can we use text to speech and speech to text api's for the outputs?
@AshutoshTripathi_AIАй бұрын
Yes
@nasamind2 ай бұрын
Nice
@AshutoshTripathi_AIАй бұрын
Thank you
@njacob43382 ай бұрын
Thank you so much for this video! 12:27 onwards helped me solve an issue I was facing for a long time with python packages not found.