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From YouTube: Incubation Engineering MLOps - Update 2022-12-20
Description
Jupyter Diffs Stats and progress on MLFLow Integration
- Request for testing: https://forms.gle/pALYkCFbz9jZmfXU7
- Feedback Issue: https://gitlab.com/gitlab-org/gitlab/-/issues/381660
- This Update: https://gitlab.com/gitlab-org/incubation-engineering/mlops/meta/-/issues/64
- All Updates: https://gitlab.com/gitlab-org/incubation-engineering/mlops/meta/-/issues/16
A
Hello,
everyone
and
welcome
to
another
update
for
mlops
incubation
engineering
at
gitlab.
My
name
is
Eduardo
and
today
we're
going
to
talk
about
how
my
progress
on
machine
learning,
experiment,
tracking
and
some
stats
on
the
Jupiter
diffs
that
we
worked
before
so
since
our
last
update.
The
features
that
we
got
merged
is
now
that
the
Emma
flow
tags
are
now
tracked.
A
So
if
you
have
tags
on
your
tracking
code,
it
is
saved
on
gitlab,
although
it's
not
displayed
yet
the
the
UI
is
coming
soon.
We
added
a
detailed
page
for
candidates,
so
more
details
for
your
candidate
or
what
would
be
an
ml4
run,
and
additionally,
we
are
now
recording
Run
Names.
A
So
if
you,
if
you
give
names
to
your
runs
so
that
you
can
search
for
them
better
on
the
on
mlflow,
we're
now
recording
them
on
gitlab
and
we'll
add
soon
the
UI
for
displaying
this
on
cute
lab
candidates,
we
are
going
through
the
internal
testing
feedback
as
well,
so
we
already
had
our
internal
users
here,
gitlab
using
it,
and
we
got
some
good
feedback.
So
I
was
focusing
more
until
now
on
the
ux.
On
the
user.
A
Experience
of
just
getting
it
set
up
and
making
it
work
with
minimal
effort
by
the
user
and
that
works
well.
What
is
missing
right
now
with
feature,
and
the
biggest
feature
that
is
currently
missing,
is
better
to
search
and
featuring
on
the
on
the
candidates.
So
this
is
what
I'm
going
to
work
now.
This
is
my
next
to
add
on
the
mlflow
integration
on
machine
learning,
experiment
tracking
from
gitlab
some
interesting
metrics,
that
from
from
the
last
few
weeks,
November
was
the
month.
A
This
is
for
the
Jupiter
book
depths.
If
you
remember
correctly,
this
was
what
I
was
working
on
before
mflo
integration,
and
it
is
very
interesting
that
November
was
the
month
with
the
highest
number
of
comments
on
Jupiter
notebooks
ever
we-
and
this
is
interesting
because
we
haven't
put
any
effort
on
this
on
the
past
six
months.
So
the
effort
that
we
put
a
long
time
ago
on
enabling
diffs
particular
books
is
consistently
getting
value
out
of
it.
A
So
users
consistently
come
keep
coming
back,
even
though
we
are
not
adding
more
effort
into
this
until
now.
So
that's
very
cool
to
see
and
yeah.
So,
what's
next,
we
will
continue
working
on
machine
learning,
expert
tracking
and
the
next
big
feature
we
intend
to
add
is
searching
and
browsing
candidates.
A
So
when
you
go
to
your
or
to
the
experiment
page
and
you
display,
it
shows
that
all
the
different
candidates,
we
want
to
add
the
search
filtering,
better
information
being
displayed
over
there,
so
it
just
improves
General
ux
and
that's
it.
What
I
have
for
today.
Thanks
have
a
good
one.