SUSE Package Hub 15 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-Standard-Pool
Package Hub 15
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-Standard-Pool
Package Hub 15
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP1 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP1-Backports-Pool
Package Hub 15 SP1
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP1 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP1-Backports-Pool
Package Hub 15 SP1
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP2 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP2-Backports-Pool
Package Hub 15 SP2
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP2 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP2-Backports-Pool
Package Hub 15 SP2
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP3 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP3-Backports-Pool
Package Hub 15 SP3
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP3 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP3-Backports-Pool
Package Hub 15 SP3
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP4 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP4-Backports-Pool
Package Hub 15 SP4
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP4 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP4-Backports-Pool
Package Hub 15 SP4
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP5 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP5-Standard-Pool
Package Hub 15 SP5
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!
SUSE Package Hub 15 SP5 one-click install
Install YODA
NOTE: This one-click installation requires that the SUSE Package Hub extension to already be enabled.
See http://packagehub.suse.com/how-to-use/ for information on enabling the Package Hub extension
If the extension is not enabled, this installation will fail while trying to enable an invalid repo.
This package might depend on packages from SUSE Linux Enterprise modules. If those modules are not enabled, a package dependency error will be encountered.
SUSE-PackageHub-15-SP5-Standard-Pool
Package Hub 15 SP5
Dummy repo - this will fail
-
YODA
A small set of data analysis classes for MC event generator validation analyses
YODA is a small set of data analysis (specifically histogramming)
classes being developed by MCnet members as a lightweight common
system for MC event generator validation analyses.
A few key features of YODA are as follows:
* Storage of all information needed for statistically correct run
combination and reweighting up to second-order correlations (e.g.
variances, std devs, etc.) not just in the number of entries in a
bin, but also the correlations of that with the x and y fill
values.
* Separation of statistics and data handling from presentation. YODA
is primarily a library for doing the data part correctly: while we
love really high quality data presentation, that's a separate goal.
* A sensible class hierarchy for histogramming, recognising that a
histogram contains details of fill history beyond the pure visual
height of a bin, and that just counting weights, or binning
arbitrary types on an axis are valuable operations.
* Flexible data format support, including a new text-based, compact,
and human-readable YODA format.
* Proper and convenience treatment of "details" like irregular bin
widths, gaps in contiguous binning, and overflows/underflows/etc.
(incuding how they impact normalisation and calculation of histo-
wide stat quantities)
* Carefully designed programming interfaces in C++ and Python. We
are very welcoming of feedback and design evolution, too!