OpenML, R, mlr

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OpenML, R, mlr
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I will first introduce an R package to interface with OpenML. We support querying and downloading, running experiments and uploading results, so that all your experiments are organized online. R itself allows many forms of machine learning methods and experiments, from completely custom code to powerful semi-automated frameworks. The OpenML package is framework-agnostic in that regard. The mlr package provides a generic, object-oriented, and extensible interface to a large number of machine learning methods in R. It enables researchers and practitioners to easily compare methods and implementations from different packages, rapidly conduct complex experiments, and implement their own meta-methods using mlr's building blocks. Classification, regression, survival analysis, and clustering are supported and virtually every resampling strategy. Meta-Optimization can be performed by tuning, feature filtering and feature selection, and most modeling steps can be parallelized. Its object-oriented structure provides in many cases a close match to the OpenML structure, and it can already be connected to the OpenML R package in a simple manner. The talk will conclude with an outlook regarding the next steps, open challenges and ideas to improve upon the current state of the project.
Presentation of a group Meeting/Interview Multiplication sign
Computer animation Lattice (order) Multiplication sign Object (grammar) Line (geometry) Local Group
Computer programming Machine learning Lecture/Conference Linker (computing) Multiplication sign Renewal theory Physical system Library (computing)
Machine learning Computer animation Lecture/Conference Data mining Moving average Interface (computing) Coma Berenices
Machine learning Computer animation Lecture/Conference Operator (mathematics) Expression Virtual machine Coma Berenices Convex hull Right angle Data structure Formal language
Computer programming Mapping Virtual machine Coma Berenices Law of large numbers Computer animation Lecture/Conference Internet service provider Website Hill differential equation Right angle Subtraction Data type Writing
Hidden surface determination Sensitivity analysis Code Multiplication sign Interior (topology) Survival analysis Virtual machine Line (geometry) Disk read-and-write head Programmer (hardware) Computer animation Lecture/Conference Physical law Software testing Task (computing)
Metre NP-hard Information Ring (mathematics) Multiplication sign Survival analysis Interior (topology) Electronic mailing list Measurement Frame problem Emulation Programmer (hardware) Computer animation Object-oriented programming Lecture/Conference output Object (grammar) Wireless Markup Language
Vapor barrier Ring (mathematics) Repetition Multiplication sign Scientific modelling Survival analysis Letterpress printing Variable (mathematics) Measurement Medical imaging Duality (mathematics) MKS system of units Numeral (linguistics) Computer animation Bit rate Personal digital assistant Website Software testing Quicksort Data type Subtraction Task (computing)
Link (knot theory) LTI system theory Linear regression Ring (mathematics) Multiplication sign Survival analysis Survival analysis Likelihood-ratio test Number Maxima and minima Programmer (hardware) Computer animation Lecture/Conference Physical law Hill differential equation Social class
Sensitivity analysis Algorithm Survival analysis Interface (computing) Parameter (computer programming) Functional (mathematics) Wave packet Computer animation Insertion loss Lecture/Conference Reduction of order Many-valued logic Arithmetic progression
Classical physics Ring (mathematics) Decision theory Mereology Table (information) Maxima and minima Category of being Numeral (linguistics) Computer animation Network topology Hill differential equation Physical law Right angle
Rule of inference Default (computer science) Algorithm Constraint (mathematics) Multiplication sign Decision theory Survival analysis Set (mathematics) Parameter (computer programming) Equation of state Computer animation Network topology Lecture/Conference Data type Social class
Summation Spacetime Scaling (geometry) Lecture/Conference Ferry Corsten Multiplication sign Right angle Parameter (computer programming) Data structure Associative property Mathematical optimization
Computer animation Lecture/Conference Linear regression Ring (mathematics) Multiplication sign Survival analysis Survival analysis Right angle Prediction Measurement Emulation Number
Computer animation Survival analysis Virtual machine Bit Measurement Metropolitan area network Estimator
Addition Algorithm Computer animation Infinite impulse response Personal digital assistant Decision theory Data structure Prediction Measurement Descriptive statistics Reading (process) Task (computing)
Computer animation Information IRIS-T Software testing Measurement Wave packet
Web page Distribution (mathematics) Theory of relativity Information Decision theory 1 (number) Interface (computing) Functional (mathematics) Benchmark Wave packet Computer animation Lecture/Conference Personal digital assistant Forest Compilation album Software testing Film editing Pairwise comparison Task (computing)
Parallel port Core dump Parallel port Batch processing Computer animation Lecture/Conference Network socket Statement (computer science) Right angle Selectivity (electronic) Local ring Multiplication Physical system
Computer Virtual machine Gene cluster Core dump Disk read-and-write head Computer Batch processing Arithmetic mean Fermat's Last Theorem Process (computing) Computer animation Network socket Order (biology) Local ring Data type Multiplication Physical system
MIDI Parallel port Core dump Mereology Hidden Markov model Batch processing Maxima and minima Computer animation Lecture/Conference Network socket Operator (mathematics) Website Software testing Right angle Local ring Pairwise comparison Multiplication Task (computing)
Run time (program lifecycle phase) Axiom of choice Algorithm Set (mathematics) Local Group Video game Bootstrap aggregating Process (computing) Computer animation Lecture/Conference Energy level Software testing Software testing Selectivity (electronic) Pairwise comparison Task (computing)
Point (geometry) Hidden surface determination Linear regression Scientific modelling Distribution (mathematics) Computer-aided design Ring (mathematics) Batch processing Code Wave packet Forest Video game Mathematics Computer animation Visualization (computer graphics) Network socket Forest Operator (mathematics) Local ring Task (computing) Physical system
Slide rule Computer animation Lecture/Conference Operator (mathematics) Interior (topology) Hill differential equation Object (grammar) Principal component analysis Maxima and minima
Digital filter Algorithm Scaling (geometry) Code Linear multistep method Functional (mathematics) Order of magnitude Emulation Maxima and minima Summation Maize Computer animation Network topology Lecture/Conference Energy level Convex hull Quicksort PRINCE2 Principal component analysis Curve fitting
Raw image format Orientation (vector space) Interior (topology) Emulation Maxima and minima Computer animation 4 (number) Insertion loss output Convex hull Right angle Selectivity (electronic) Object (grammar) Principal component analysis Subtraction Physical system
Computer programming Algorithm Observational study Scientific modelling Constructor (object-oriented programming) Maxima and minima Chaining Computer animation Lecture/Conference Uniform resource name Operator (mathematics) Hill differential equation Software testing Principal component analysis Mathematical optimization Resultant
Email Algorithm Scientific modelling Interior (topology) Number Maxima and minima Database normalization Computer animation Configuration space Hill differential equation Bus (computing) Principal component analysis Mathematical optimization Information security Uniform space
Digital electronics Code Model theory Scientific modelling Maschinenbau Kiel Virtual machine Parameter (computer programming) Weight Data model Maxima and minima Chain Goodness of fit Bit rate Term (mathematics) Forest Code Energy level Selectivity (electronic) Subtraction Algorithm Axiom of choice Scaling (geometry) Parameter (computer programming) Line (geometry) Estimator Voting Computer animation Personal digital assistant Right angle Quicksort Rainforest Mathematical optimization Task (computing)
Constraint (mathematics) Spacetime Computer animation Energy level Line (geometry) Mathematical optimization Local Group Resultant
Data model Computer animation Code Maschinenbau Kiel Interior (topology) Sampling (statistics) Survival analysis Bit Line (geometry)
Modal logic Algorithm Computer animation Personal digital assistant Operator (mathematics) Multiplication sign Addressing mode Exploit (computer security) Task (computing)
Code Characteristic polynomial Bit Grand Unified Theory Line (geometry) Functional (mathematics) Data quality Table (information) Discounts and allowances Revision control Casting (performing arts) Computer animation Lecture/Conference Operator (mathematics) Task (computing) Writing Task (computing) Social class
Computer configuration Computer animation Observational study Lecture/Conference Chemical equation Right angle Grand Unified Theory Mathematical optimization Disk read-and-write head Vector potential Social class Maxima and minima
Read-only memory Trail Spacetime Computer file Computer file Bit Pointer (computer programming) Computer configuration Computer animation Lie group Repository (publishing) MiniDisc Right angle Object (grammar)
Computer animation Information Lecture/Conference State of matter Operator (mathematics) Computer file Repository (publishing) Set (mathematics) Object (grammar) Task (computing) Simulated annealing Task (computing)
Run time (program lifecycle phase) Authentication Addition Product (category theory) Algorithm Computer Virtual machine Amsterdam Ordnance Datum Prediction Mathematics Sample (statistics) Computer animation Pi Lecture/Conference Divisor Energy level Task (computing) Resultant Data type Family
Computer animation Lecture/Conference Structural load Hash function Program slicing Order (biology) Mathematical analysis Prediction Infinity Measurement Resultant
Observational study Computer animation Lecture/Conference Multiplication sign Decision theory Mathematical analysis Computer science
Musical ensemble MUD Observational study Information Line (geometry) Multiplication sign Time zone Ring (mathematics) Infinity Measurement Event horizon Local Group Computer animation Commutator Lecture/Conference Personal digital assistant Profil (magazine) Dependent and independent variables Right angle Data type
Area Web page Statistics Computer animation Lecture/Conference Multiplication sign Moment (mathematics) Survival analysis Infinity Weight Measurement
Musical ensemble Electric generator Computer animation Information Lecture/Conference Multiplication sign Survival analysis Hill differential equation Set (mathematics) Curve fitting Sinc function
Statistics Multiplication sign Scientific modelling Survival analysis Survival analysis Mereology Amalgam (chemistry) Functional (mathematics) Estimator Computer animation Lecture/Conference Units of measurement Physical system
User interface Computer file INTEGRAL State of matter Server (computing) Multiplication sign Survival analysis Virtual machine Mathematical analysis Planning Auto mechanic Staff (military) Mereology Mereology System call Variance Summation Sign (mathematics) Computer animation Lecture/Conference Website Convex hull Right angle Supremum
Standard deviation Pairwise comparison Mapping Observational study Code Moment (mathematics) Bit Line (geometry) Open set Computer animation Visualization (computer graphics) Lecture/Conference Internet service provider Resultant Physical system
Point (geometry) Standard deviation Standard deviation Observational study Mapping Scaling (geometry) Observational study Information Multiplication sign Division (mathematics) Sign (mathematics) Mathematics Computer animation 4 (number) Lecture/Conference Database Selectivity (electronic) Quicksort Matching (graph theory) Resultant Supremum
Standard deviation Summation MUD Computer animation Information Lecture/Conference Multiplication sign Interior (topology) Text editor Units of measurement Maxima and minima
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supervised unsupervised technique in in are actually in the fact that the goals and the
reason why we want to have that is that she is current up pretty
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months until the seeds from the used this not acting for 1 between the 2 optimized for data might model and
and finally and want to show you something pretty complex so eye will show you how to do it it efficient out model selection including different running algorithms including different hyperparameters with just a few lines of code so the idea of having the with understood how this 1st level of model or to my as Asian and works right it's something like maximum like a good estimation up so penalised M L or you might call this regular rise lost minimisation right or understood how this works wine take the same principle to the next level and in the next level you he is this mobile and this and this and this and and do what many Alix Burns and will look at what works best and well can as and looks nice non room to fill wrong with parameters circuit nicer adding that 1 of the best and review the right with machine and so we will just told the same thing that we did on the 1st level on the next level and this is sometimes called 2nd level estimation and think it's a good way to look at this and say this is not from the by invented by stole from a paper from the but we all about this and so you can know that there are so what you can do it you can something that we use the term we invented because the the nautical this on a multiplex mobile to you take on a different voting machines with parameters you got them together in a mighty plaques and that might excise won friend and this hybrid encodes what they actually selected price and the idea is not to join exhaustive sort of the way to do it that based Optimization West racing to focus on the well for me to write to efficient Optimization on this 2nd level and you can use every 2 that you want and young is how this good looks like on lines are the 10 or so so you could constructed a summary of also move is not place a riot of the rainforest the as yet you change the prices of goods and you say 1 1 or 2 of the 4 tries which in this case because the weights along you say or want to be traded at racing with 400 experiments and you create the private is set for them by a model Multiplex or so for the rate of forest you would optimized size the as the and in this case you would optimized that comes with the example right in reality would more credit and
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billion experiments on the same day with the same frustrated Asian we know this will be optimates optimistically by his drive and the papers were get rejected the hopefully of the review was ordered and so we have to nest this into another level of performance and timation and if you use the right approach he now
he just say Well cross the rapper for a sample again and this will do everything at once another line of code and we are and that of on him and if you want a
real about this a little bit more special you for survival analysis by what we did in the 40 generally possible for other supervised of Maudling techniques which by road paper
about optimizing prepossessing operations and some of the most this case with the with the dreaded accuracy and that it to be open about package now witches might say for smaller so and good use up that much time to get the current 80 allows you to exploit datasets and tax on the sofa up to download datasets and has you can register learning algorithms economic look so that's what we got so far and hopefully
we'll have more at the end of this week is to
look most IPDPS we don't have the combined with a car on the idea is you can use any are package for you can write custom code if you want it might get less comedians but you can do everything you want and and OR is already a bit more integrated because of accused this is what looks like if you want to attack the said so you can ask well please of tell me what the open amount that assets to see how well the name of the data said data said idea in the version of the cast were where 1 of the registered top can see the ideas of the task the names of the dead sense associated and again the version and be the most useful operation gets to data qualities of this by calling the function you will get a table of which consists of
1 line datasets but which tells you the the features or the characteristics of the status and so how large a discount many featured in a comedy feature as it has on whether the missing values and then I'm off classes to what you do with fewer
studied at enough for example and the study for imbalance
datasets like all dysfunction looked at everything that had to classes which was pretty imbalance adenoid he's tend to 1 potential
1 ratio between the cost sizes usually we dislike missing values so many 1 exclude datasets was and so on and in the end you may be have 30 to 50 datasets that defying a badge work-study and then you can just the right over the can actually it still
technical problems this is available only for the datasets so we really want to have for the past and we are in the usual for this of the track at the weekend throughout the of this this week as well because this holding a bit and this is how you can download it has sent you can either use a name for the data said died and juicy well downloading said Iris from memory for the Tory and stuff gives sought in files on disc and in the end the has again posh suspect files are files those
files transformed into a advantage memory back again and again as the object of the deepening and some rights and not work with pride and or of the data and the spacing again and a friend
annotated with extra information to download a task and this without download not only the data set all Jack but well information on what you're supposed to do not with the state and it will also
download the across from the with some song and again you get this Sinise object that you can look reduced I was without now you can now view the open mouthed packages you want even these 2 operations will be
useful was for practical and but you can also now use every machine learning algorithm you wish on this year again creates learning and amara and the run-time which is a very convenient way for produced the predictions for some never allowed her world to see the cross addition runs and we have some basic prepossessing and so we are dropping apparently a couple of called because the computing concerns and most your body of Rubens don't like that they get results so 97 per cent accuracy and cost most important predictions and we might
wonder uploaded into the UK and this is the only thing that didn't switch on the other 1 a change the of authenticate now so because
I want to change data to create a new basically registered the
running and remove and are at the young don't have to do this any more and in a couple of weeks because of these learning and with already been registered and well and you up load up the run results which are basically the predictions and then so that will be the year them for you at
think where British funds measure which some of knows you could also evaluate itself enough of this and the other is going to beat you and an hour to a slice as everybody order survive analysis because they were
just about to talking and not going to invest much time until this time because the may be over time anywhere for 18 and the thing I wanted talk about this because it is that when to convince you guys automatic this possible it open amount because the pretty Houghton
task for by or said decisions and by or computer science guys so survive analysis is about and predicting how long certain
patient will survive may be to sell the group of patients that or a type of cancer and and on my anything really about this and some major is going to drop me commute to remember to talk Taubman's to add a couple of patients in a 1 0 win at the going to die right it's a sad day but the book thing about is that we want to re late this information to about their gene expression profiles and then hopefully figure out which genes are response a boat maybe for for winning their lifetime so drastically 3 can help them right so basically like your aggression estimates much time there as this is left their for the person and with 1 or little twist which makes it more complicated so we can we will have people in the medical study and we have a certain events that the death right and we can measure the amount of time that happens until the band happened and but then might be the case that some of these patients at she studied for ever reason and we don't get a measurement so that sensory and you can get a right sends ring witches when people
leave the study and UConn contact them any more and so we know they survived these ideas but may be sent to attend a would every right they can also enter this study and we have and we didn't know when so this might be left sense ring and it could be a sensing size and this makes it more complicated price because we know some information but we don't have the
true measurement and why at and the sole area and statistics that deals without which was also time now called the most
important thing for them out Howell out just days look like this we have clinical could various these just moment features page of the patient and their weight item whatever and we have high damage on genetic died expression daytime so these are either No 10 400 was a bright critical of local clinical and on the
few about tried almost size so she lighting this will be higher Menschel so this might be leg which is
set of may be 50 thousand and and for next generation sequencing item of a million and on the NYSE extra information as you have for the 100 or 300 alterations to really tough from right and and we have these timing inflammations and the way that the band had no not seeking an for what title since drink plates and to motivate you that this is not a necessary for look at by a few people and what it looked at by a
couple could not move it very very rather than the many people working in statistics so that it is cut my estimated which gives you a basic estimation of how this survival function looks like
that but I I think we should go with this a couple of days ago 1 of the most side is the physical paper and as 1 of the system Simplon models but predicts a Bible time which was the cost of 40 has lost model the 2nd most side statistical paper and get this in draw was and although amalgamate people from statistics will be hopefully the more interested in over and of these a large because the full of looks pretty certain about what glory have and and I'd undermined by 1st
prejudice the more we opened up the other communities the more successful this would be a new world also learn from drawing on these people drawing in all of these different people because the with it and they will give us another hopefully implemented prospective and were doing but we can get this right with 4 3 guys
designing call Machine experiments should be done complete correct and 2 sites and this is
at least my plan for the worst of 1 of discuss and technical staff with a European young and openly get these are this out of the way discussed possible integration of analysis the to reflect a and clean up some parts of the package because the next step should really be published this was here and and make Magnus available to people to again people comment on this used as and when not far away from the visit of Florida which was in a bad state currently time which it is already working on the file cashing mechanisms we don't need to
download everything again and again and everyone and the and highly like that you guys provider of these from the opener also provide the visualization and so on and the comparison but they are is a really nice food for that as well and will be able to do what all the niceties testing the Gigi brought visualization in are with the results so we need the data and and was not perfectly integrated and that at the moment because it's a bit hard to get this right 1 discussed with some people yet how we really can support custom mauling just a few lines of code that somebody wrote that this must be a way because again open up the system to anything and what might be the general next steps up for the
op package and openmail as a whole so disappointed member of this House and sophistication in and out of reach of across already might be the as well because
of the for me is the senior we should be able to do what the match stand to winning a feature selections business to be something and stole the information from the experiment on the sort because my pinioned that's very standard for many papers we must be a very well dramatic studies writes scientific studies for people to in the papers every aspect of this must be mappable to some openmail were work for or concept this is key because the and all the signs point to to work at you the use this hopefully at me but I think we already have a problem that people are being sent to lazy they tool and and they stick to it because they they want at a time think about mathematics and 4 minutes and then wonderful around with a potential technology at least most of the scientist at the and in the must make this general flexible and easy to use I'm but to skip the and we should do with large scale study of my opinion and populated database with interesting results because actually widely need any body to run it as a standard as the and 1 or data weekend with his wife and we have cost as for this so let's just and create millions of baseline experiments that can then again data mind and learn something from the actually maybe this modest thing would be to build the centre early in the year to anybody else because I'm i am of the opinion that if we do that this will be well a rich but we have and I'm
not sure thing Danny at
this kind of information that we just need to exploit the new just and a way to do this and is also editor some kind of a
broke worry presented tell a works in simple sonatas to get people interested in this sorry that
are and tennis over time bring that you have


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